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Waterfall Plot in Python
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Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples
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Granger Causality Test
Main Pitfalls in Machine Learning Projects
Population Stability Index (PSI)
Deploy ML model in AWS Ec2 – Complete no-step-missed guide
Feature selection using FRUFS and VevestaX
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How to deal with Big Data in Python for ML Projects (100+ GB)?
Decorators in Python – How to enhance functions without changing the code?
Generators in Python – How to lazily return values only when needed and save memory?
Iterators in Python – What are Iterators and Iterables?
Python Module – What are modules and packages in python?
Object Oriented Programming (OOPS) in Python
Conda virtual environment
List Comprehensions in Python – My Simplified Guide
Parallel Processing in Python – A Practical Guide with Examples
Python @Property Explained – How to Use and When? (Full Examples)
pdb – How to use Python debugger
Python Regular Expressions Tutorial and Examples: A Simplified Guide
Python Logging – Simplest Guide with Full Code and Examples
datetime in Python – Simplified Guide with Clear Examples
Requests in Python Tutorial – How to send HTTP requests in Python?
Python JSON – Guide
Python Collections – An Introductory Guide
cProfile – How to profile your python code
Python Yield – What does the yield keyword do?
Lambda Function in Python – How and When to use?
What does Python Global Interpreter Lock – (GIL) do?
Time Series
Granger Causality Test
Augmented Dickey Fuller Test (ADF Test) – Must Read Guide
KPSS Test for Stationarity
ARIMA Model – Complete Guide to Time Series Forecasting in Python
Time Series Analysis in Python – A Comprehensive Guide with Examples
Vector Autoregression (VAR) – Comprehensive Guide with Examples in Python
Statistics
Partial Correlation
Chi-Square test – How to test statistical significance?
Gentle Introduction to Markov Chain
What is P-Value? – Understanding the meaning, math and methods
How to implement common statistical significance tests and find the p value?
Mahalanobis Distance – Understanding the math with examples (python)
T Test (Students T Test) – Understanding the math and how it works
Confidence Interval – Fully Explained
Understanding Standard Error – A practical guide with examples
One Sample T Test – Clearly Explained with Examples | ML+
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TensorFlow vs PyTorch – A Detailed Comparison
How to use tf.function to speed up Python code in Tensorflow
How to implement Linear Regression in TensorFlow
NLP
Complete Guide to Natural Language Processing (NLP) – with Practical Examples
Text Summarization Approaches for NLP – Practical Guide with Generative Examples
101 NLP Exercises (using modern libraries)
Gensim Tutorial – A Complete Beginners Guide
LDA in Python – How to grid search best topic models?
Topic Modeling with Gensim (Python)
Lemmatization Approaches with Examples in Python
Topic modeling visualization – How to present the results of LDA models?
Cosine Similarity – Understanding the math and how it works (with python codes)
spaCy Tutorial – Complete Writeup
Training Custom NER models in SpaCy to auto-detect named entities [Complete Guide]
Building chatbot with Rasa and spaCy
SpaCy Text Classification – How to Train Text Classification Model in spaCy (Solved Example)?
Plots
Matplotlib Plotting Tutorial – Complete overview of Matplotlib library
Matplotlib Histogram – How to Visualize Distributions in Python
Bar Plot in Python – How to compare Groups visually
Python Boxplot – How to create and interpret boxplots (also find outliers and summarize distributions)
Waterfall Plot in Python
Top 50 matplotlib Visualizations – The Master Plots (with full python code)
Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples
Matplotlib Pyplot – How to import matplotlib in Python and create different plots
Python Scatter Plot – How to visualize relationship between two numeric features
Matplotlib Line Plot – How to create a line plot to visualize the trend?
Matplotlib Subplots – How to create multiple plots in same figure in Python?
Machine Learning
Main Pitfalls in Machine Learning Projects
Deploy ML model in AWS Ec2 – Complete no-step-missed guide
Feature selection using FRUFS and VevestaX
Simulated Annealing Algorithm Explained from Scratch (Python)
Bias Variance Tradeoff – Clearly Explained
Complete Introduction to Linear Regression in R
Caret Package – A Practical Guide to Machine Learning in R
Logistic Regression – A Complete Tutorial With Examples in R
Principal Component Analysis (PCA) – Better Explained
K-Means Clustering Algorithm from Scratch
How Naive Bayes Algorithm Works? (with example and full code)
Feature Selection – Ten Effective Techniques with Examples
Evaluation Metrics for Classification Models – How to measure performance of machine learning models?
Brier Score – How to measure accuracy of probablistic predictions
Portfolio Optimization with Python using Efficient Frontier with Practical Examples
Gradient Boosting – A Concise Introduction from Scratch
Deployment
Population Stability Index (PSI)
Deploy ML model in AWS Ec2 – Complete no-step-missed guide
Julia
Julia – Programming Language
Linear Regression in Julia
Logistic Regression in Julia – Practical Guide with Examples
For-Loop in Julia
While-loop in Julia
Function in Julia
DataFrames in Julia
Data Wrangling
101 NumPy Exercises for Data Analysis (Python)
101 Pandas Exercises for Data Analysis
SQL Tutorial – A Simple and Intuitive Guide to the Structured Query Language
Dask – How to handle large dataframes in python using parallel computing
Modin – How to speedup pandas by changing one line of code
Python Numpy – Introduction to ndarray [Part 1]
data.table in R – The Complete Beginners Guide
101 Python datatable Exercises (pydatatable)
101 R data.table Exercises
101 NLP Exercises (using modern libraries)
Recent
How to deal with Big Data in Python for ML Projects (100+ GB)?
Granger Causality Test
Main Pitfalls in Machine Learning Projects
Population Stability Index (PSI)
Deploy ML model in AWS Ec2 – Complete no-step-missed guide
Feature selection using FRUFS and VevestaX
Object Oriented Programming (OOPS) in Python
Simulated Annealing Algorithm Explained from Scratch (Python)
Partial Correlation
Chi-Square test – How to test statistical significance for categorical data?
Conda virtual environment
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Getting Started
#1. How to formulate machine learning problem
#2. Setup Python environment for ML
#3. Exploratory Data Analysis (EDA)
#4. How to reduce the memory size of Pandas Data frame
#5. Missing Data Imputation Approaches
#6. Interpolation in Python
#7. MICE imputation
#8. How to detect outliers using IQR and Boxplots?
#9. How to detect outliers with z-score
Beginners Corner
How to formulate machine learning problem
Setup Python environment for ML
What is a Data Scientist?
The story of how Data Scientists came into existence
Task Checklist for Almost Any Machine Learning Project
Data Science Roadmap (2023)
Why learn the math behind Machine Learning and AI?
Mistakes programmers make when starting machine learning
Machine Learning Use Cases
How to deal with Big Data in Python for ML Projects (100+ GB)?
Main Pitfalls in Machine Learning Projects
Courses
1. Foundations of Machine Learning
2. Python Programming
3. NumPy for Data Science
4. Pandas for Data Science
5. Linux Command
6. SQL for Data Science – Level 1
7. SQL for Data Science – Level 2
8. SQL for Data Science – Level 3
9. SQL for Data Science – Window Functions
10. Data Pre-processing and EDA
11. Linear regression and regularisation
12. Classification: Logistic Regression
13. Imbalanced Classification
14. Supervised ML Algorithms
15. Ensemble Learning
16. ML Deployment in AWS EC2
17. Deploy in AWS Lamda
18. Deploy in AWS Sagemaker
19. PySpark for Data Science – I: Fundamentals
20. PySpark for Data Science – II: Statistics for Big Data
21. Introduction to Time Series Analaysis
22. Time Series Analysis – I (Beginners)
23. Time Series Analysis – II (Intermediate )
24. Time Series Forecasting Part 1: Statistical Models
25. Time Series Forecasting Part 2: ARIMA modeling and Tests
26. Time Series Forecasting Part 3: Vector Auto Regression
27. Time Series Analysis – III: Singular Spectrum Analysis
28. Feature Engineering for Time Series Project: I
29. Feature Engineering for Time Series Projects: II
31. Estimating customer lifetime value for business
32. Microsoft malware detection project
33. Credit card fraud detection
34. Restaurant Visitor Forecasting
35. Optimizing Marketing Budget Spend with Marketing Mix Modeling
36. Predict Rating given Amazon Product review using NLP
37. Foundations of Deep Learning in Python
38. Foundations of Deep Learning: Part 2
39. Applied Deep Learning with PyTorch
40. Detecting defects in Steel sheet with Computer vision
41. Project Text Generation using Language models with LSTM
42. Project Classifying Sentiment of reviews using BERT NLP
43. Spacy for NLP
44. Base R Programming
45. Dplyr for Data Wrangling
46. Wrangling Data with Data Table
47. GGPlot2 Visualization for Data Analysis
48. Statistical foundation for ML in R
49. Regression Model in R
50. Caret Package in R
Python
Introduction to Python
Setup Python environment for ML
Decorators in Python
Generators in Python
Iterators in Python
Python Module
Object Oriented Programming (OOPS) in Python
List Comprehension
Requests in Python
Python Collections
Python Logging
Plots
Matplotlib Tutorial
Matplotlib Histogram
Bar Plot in Python
Python Boxplot
Waterfall Plot in Python
Top 50 matplotlib Visualizations
Matplotlib Tutorial
Matplotlib Pyplot
Python Scatter Plot
Matplotlib Subplots
Data Wrangling
101 NumPy Exercises for Data Analysis (Python)
101 Pandas Exercises for Data Analysis
101 Pandas Exercises for Data Analysis
Dask
Modin
Numpy Tutorial
data.table in R
101 Python datatable Exercises (pydatatable)
101 R data.table Exercises
Advanced Python
Conda create environment and everything you need to know to manage conda virtual environment
Python @Property Explained
pdb – How to use Python debugger
Python JSON – Guide
cProfile – How to profile your python code
Python Yield
Lambda Function in Python
What does Python Global Interpreter Lock
Install opencv python
Install pip mac
Scrapy vs. Beautiful Soup
Add Python to PATH
PySpark
Introduction to Pyspark
Power of Pyspark
Install PySpark on Windows
Install PySpark on MAC
Install PySpark on Linux
What is Sparksession
Read and Write files using PySpark
Pyspark Show
Run SQL Queries with PySpark
PySpark Pandas API
Select columns in PySpark dataframe
PySpark withColumn()
Pyspark Drop Columns
PySpark Rename Columns
PySpark Filter vs Where
PySpark orderBy() and sort()
PySpark GroupBy()
PySpark Pivot
PySpark Joins
PySpark Union
PySpark Connect to MySQL
PySpark Connect to PostgreSQL
PySpark Connect to SQL Serve
PySpark Connect to Redshift
PySpark Connect to Snowflake
PySpark Linear Regression
PySpark Logistic Regression
PySpark Decision Tree
PySpark Ridge Regression
PySpark Lasso Regression
PySpark Random Forest
PySpark Gradient Boosting model
PySpark Mllib K-Means Clustering
PySpark Statistics Mean
PySpark Statistics Median
PySpark Statistics Mode
PySpark Statistics Standard Deviation
PySpark Statistics Variance
PySpark Statistics Deciles and Quartiles
PySpark Correlation
PySpark Chi-Square Test
PySpark Variable type Identification
PySpark Outlier Detection and Treatment
PySpark Missing Data Imputation
PySpark Variance Inflation Factor (VIF)
PySpark StringIndexer
PySpark OneHot Encoding
PySpark Exercises – 101 PySpark Exercises for Data Analysis
Others
Deployment
Population Stability Index (PSI)
Deploy ML model in AWS Ec2
Julia
Julia – Programming Language
Linear Regression in Julia
Logistic Regression in Julia
For-Loop in Julia
While-loop in Julia
Function in Julia
DataFrames in Julia
Linux
ls command in Linux – Mastering the “ls” command in Linux
mkdir command in Linux – A comprehensive guide for mkdir command
cd command in linux – Mastering the ‘cd’ command in Linux
cat command in Linux – Mastering the ‘cat’ command in Linux
Linux Commands List with Examples
Machine Learning
Deep Learning
TensorFlow vs PyTorch
How to use tf.function to speed up Python code in Tensorflow
How to implement Linear Regression in TensorFlow
NLP
Complete Guide to Natural Language Processing (NLP)
Text Summarization Approaches for NLP
101 NLP Exercises (using modern libraries)
Gensim Tutorial
LDA in Python
Topic Modeling with Gensim (Python)
Lemmatization Approaches with Examples in Python
Topic modeling visualization
Cosine Similarity
spaCy Tutorial
Training Custom NER models in SpaCy to auto-detect named entities
Building chatbot with Rasa and spaCy
SpaCy Text Classification
Algorithms
K-Means Clustering Algorithm from Scratch
Simulated Annealing Algorithm Explained from Scratch
How Naive Bayes Algorithm Works?
Feature selection using FRUFS and VevestaX
Principal Component Analysis
Gradient Boosting
Feature Selection – Ten Effective Techniques with Examples
Projects
Evaluation Metrics for Classification Models
Deploy ML model in AWS Ec2
Portfolio Optimization with Python using Efficient Frontier
Bias Variance Tradeoff
Specific Topics
Logistic Regression
Complete Introduction to Linear Regression in R
Caret Package
Brier Score
Time Series
Granger Causality Test
Augmented Dickey Fuller Test (ADF Test)
KPSS Test for Stationarity
ARIMA Model
Time Series Analysis in Python
Vector Autoregression (VAR)
Prob and Stats
Probability
Introduction to Probability
Odds and Odds Ratios
Independent and Dependent Events
Mutually Exclusive Events
Joint Probability
Conditional Probability
Bayes’ Theorem
Expected Value
Probability frequency distribution
Discrete Frequency Distributions
Continuous Frequency Distributions
Partial Correlation
Chi-Square Test – Theory & Math
Gentle Introduction to Markov Chain
What is P-Value?
How to implement common statistical significance tests and find the p value?
Mahalanobis Distance
T Test (Students T Test)
Confidence Interval in Statistics
Standard Error in Statistics
One Sample T Test
Descriptive and inferential statistics
Types of data in statistics
Measures of central tendency
Quantiles and Percentiles
Measures of dispersion
Skewness and kurtosis
Central Limit Theroem
Law of large numbers
Standard Error
Sampling and sampling distributions
Correlation
SQL
SQL Tutorial – The Introduction
SQL Subquery (advanced)
SQL Window Functions (advanced)
SQL Window Functions Exercises – Set 1
SQL Window Functions Exercises – Set 2
Intro to SQL
SQL Select
SQL Select Distinct
SQL Where
SQL Order by
SQL Insert Into
SQL AND, OR, and NOT
SQL Null Values
SQL Update
SQL DELETE
SQL SELECT TOP
SQL MIN and MAX Functions
SQL Count(), Avg(), Sum()
SQL LIKE
SQL Wildcards
SQL IN
SQL BETWEEN
SQL Aliases
SQL Joins
SQL Inner Join
SQL Left Join
SQL Right Join
SQL Full Join
SQL Self Join
SQL UNION
SQL GROUP BY
SQL HAVING
SQL EXISTS
SQL ANY, ALL Operators
How to transpose columns to rows in SQL?
How to select only rows with max value on a column?
SQL Select Into
SQL Insert Into Select
SQL Case
SQL Null Functions
SQL Comments
SQL Operators
SQL Create Table
SQL Drop Table
SQL Primary Key
SQL Foreign Key
Sort multiple columns in SQL and in different directions?
Count the number of work days between two dates?
Compute maximum of multiple columns, aks row wise max?
GROUP BY clause on multiple columns in SQL?
Linear Algebra
01. Introduction to Linear Algebra
02. Types of Tensors
03. Scalars
04. Vectors
05. Vectors Linear Algebra
06. Matrix Types
07. Matrix Operations
08. Orthogonal and Ortrhonormal Matrix
09. Eigenvectors and Eigenvalues
10. Affine Transformation
11. Singular Value Decomposition (SVD)
12. System of Equations
13. Linear Regression Algorithm
14. Principal Component Analysis
Menu
Getting Started
#1. How to formulate machine learning problem
#2. Setup Python environment for ML
#3. Exploratory Data Analysis (EDA)
#4. How to reduce the memory size of Pandas Data frame
#5. Missing Data Imputation Approaches
#6. Interpolation in Python
#7. MICE imputation
#8. How to detect outliers using IQR and Boxplots?
#9. How to detect outliers with z-score
Beginners Corner
How to formulate machine learning problem
Setup Python environment for ML
What is a Data Scientist?
The story of how Data Scientists came into existence
Task Checklist for Almost Any Machine Learning Project
Data Science Roadmap (2023)
Why learn the math behind Machine Learning and AI?
Mistakes programmers make when starting machine learning
Machine Learning Use Cases
How to deal with Big Data in Python for ML Projects (100+ GB)?
Main Pitfalls in Machine Learning Projects
Courses
1. Foundations of Machine Learning
2. Python Programming
3. NumPy for Data Science
4. Pandas for Data Science
5. Linux Command
6. SQL for Data Science – Level 1
7. SQL for Data Science – Level 2
8. SQL for Data Science – Level 3
9. SQL for Data Science – Window Functions
10. Data Pre-processing and EDA
11. Linear regression and regularisation
12. Classification: Logistic Regression
13. Imbalanced Classification
14. Supervised ML Algorithms
15. Ensemble Learning
16. ML Deployment in AWS EC2
17. Deploy in AWS Lamda
18. Deploy in AWS Sagemaker
19. PySpark for Data Science – I: Fundamentals
20. PySpark for Data Science – II: Statistics for Big Data
21. Introduction to Time Series Analaysis
22. Time Series Analysis – I (Beginners)
23. Time Series Analysis – II (Intermediate )
24. Time Series Forecasting Part 1: Statistical Models
25. Time Series Forecasting Part 2: ARIMA modeling and Tests
26. Time Series Forecasting Part 3: Vector Auto Regression
27. Time Series Analysis – III: Singular Spectrum Analysis
28. Feature Engineering for Time Series Project: I
29. Feature Engineering for Time Series Projects: II
31. Estimating customer lifetime value for business
32. Microsoft malware detection project
33. Credit card fraud detection
34. Restaurant Visitor Forecasting
35. Optimizing Marketing Budget Spend with Marketing Mix Modeling
36. Predict Rating given Amazon Product review using NLP
37. Foundations of Deep Learning in Python
38. Foundations of Deep Learning: Part 2
39. Applied Deep Learning with PyTorch
40. Detecting defects in Steel sheet with Computer vision
41. Project Text Generation using Language models with LSTM
42. Project Classifying Sentiment of reviews using BERT NLP
43. Spacy for NLP
44. Base R Programming
45. Dplyr for Data Wrangling
46. Wrangling Data with Data Table
47. GGPlot2 Visualization for Data Analysis
48. Statistical foundation for ML in R
49. Regression Model in R
50. Caret Package in R
Python
Introduction to Python
Setup Python environment for ML
Decorators in Python
Generators in Python
Iterators in Python
Python Module
Object Oriented Programming (OOPS) in Python
List Comprehension
Requests in Python
Python Collections
Python Logging
Plots
Matplotlib Tutorial
Matplotlib Histogram
Bar Plot in Python
Python Boxplot
Waterfall Plot in Python
Top 50 matplotlib Visualizations
Matplotlib Tutorial
Matplotlib Pyplot
Python Scatter Plot
Matplotlib Subplots
Data Wrangling
101 NumPy Exercises for Data Analysis (Python)
101 Pandas Exercises for Data Analysis
101 Pandas Exercises for Data Analysis
Dask
Modin
Numpy Tutorial
data.table in R
101 Python datatable Exercises (pydatatable)
101 R data.table Exercises
Advanced Python
Conda create environment and everything you need to know to manage conda virtual environment
Python @Property Explained
pdb – How to use Python debugger
Python JSON – Guide
cProfile – How to profile your python code
Python Yield
Lambda Function in Python
What does Python Global Interpreter Lock
Install opencv python
Install pip mac
Scrapy vs. Beautiful Soup
Add Python to PATH
PySpark
Introduction to Pyspark
Power of Pyspark
Install PySpark on Windows
Install PySpark on MAC
Install PySpark on Linux
What is Sparksession
Read and Write files using PySpark
Pyspark Show
Run SQL Queries with PySpark
PySpark Pandas API
Select columns in PySpark dataframe
PySpark withColumn()
Pyspark Drop Columns
PySpark Rename Columns
PySpark Filter vs Where
PySpark orderBy() and sort()
PySpark GroupBy()
PySpark Pivot
PySpark Joins
PySpark Union
PySpark Connect to MySQL
PySpark Connect to PostgreSQL
PySpark Connect to SQL Serve
PySpark Connect to Redshift
PySpark Connect to Snowflake
PySpark Linear Regression
PySpark Logistic Regression
PySpark Decision Tree
PySpark Ridge Regression
PySpark Lasso Regression
PySpark Random Forest
PySpark Gradient Boosting model
PySpark Mllib K-Means Clustering
PySpark Statistics Mean
PySpark Statistics Median
PySpark Statistics Mode
PySpark Statistics Standard Deviation
PySpark Statistics Variance
PySpark Statistics Deciles and Quartiles
PySpark Correlation
PySpark Chi-Square Test
PySpark Variable type Identification
PySpark Outlier Detection and Treatment
PySpark Missing Data Imputation
PySpark Variance Inflation Factor (VIF)
PySpark StringIndexer
PySpark OneHot Encoding
PySpark Exercises – 101 PySpark Exercises for Data Analysis
Others
Deployment
Population Stability Index (PSI)
Deploy ML model in AWS Ec2
Julia
Julia – Programming Language
Linear Regression in Julia
Logistic Regression in Julia
For-Loop in Julia
While-loop in Julia
Function in Julia
DataFrames in Julia
Linux
ls command in Linux – Mastering the “ls” command in Linux
mkdir command in Linux – A comprehensive guide for mkdir command
cd command in linux – Mastering the ‘cd’ command in Linux
cat command in Linux – Mastering the ‘cat’ command in Linux
Linux Commands List with Examples
Machine Learning
Deep Learning
TensorFlow vs PyTorch
How to use tf.function to speed up Python code in Tensorflow
How to implement Linear Regression in TensorFlow
NLP
Complete Guide to Natural Language Processing (NLP)
Text Summarization Approaches for NLP
101 NLP Exercises (using modern libraries)
Gensim Tutorial
LDA in Python
Topic Modeling with Gensim (Python)
Lemmatization Approaches with Examples in Python
Topic modeling visualization
Cosine Similarity
spaCy Tutorial
Training Custom NER models in SpaCy to auto-detect named entities
Building chatbot with Rasa and spaCy
SpaCy Text Classification
Algorithms
K-Means Clustering Algorithm from Scratch
Simulated Annealing Algorithm Explained from Scratch
How Naive Bayes Algorithm Works?
Feature selection using FRUFS and VevestaX
Principal Component Analysis
Gradient Boosting
Feature Selection – Ten Effective Techniques with Examples
Projects
Evaluation Metrics for Classification Models
Deploy ML model in AWS Ec2
Portfolio Optimization with Python using Efficient Frontier
Bias Variance Tradeoff
Specific Topics
Logistic Regression
Complete Introduction to Linear Regression in R
Caret Package
Brier Score
Time Series
Granger Causality Test
Augmented Dickey Fuller Test (ADF Test)
KPSS Test for Stationarity
ARIMA Model
Time Series Analysis in Python
Vector Autoregression (VAR)
Prob and Stats
Probability
Introduction to Probability
Odds and Odds Ratios
Independent and Dependent Events
Mutually Exclusive Events
Joint Probability
Conditional Probability
Bayes’ Theorem
Expected Value
Probability frequency distribution
Discrete Frequency Distributions
Continuous Frequency Distributions
Partial Correlation
Chi-Square Test – Theory & Math
Gentle Introduction to Markov Chain
What is P-Value?
How to implement common statistical significance tests and find the p value?
Mahalanobis Distance
T Test (Students T Test)
Confidence Interval in Statistics
Standard Error in Statistics
One Sample T Test
Descriptive and inferential statistics
Types of data in statistics
Measures of central tendency
Quantiles and Percentiles
Measures of dispersion
Skewness and kurtosis
Central Limit Theroem
Law of large numbers
Standard Error
Sampling and sampling distributions
Correlation
SQL
SQL Tutorial – The Introduction
SQL Subquery (advanced)
SQL Window Functions (advanced)
SQL Window Functions Exercises – Set 1
SQL Window Functions Exercises – Set 2
Intro to SQL
SQL Select
SQL Select Distinct
SQL Where
SQL Order by
SQL Insert Into
SQL AND, OR, and NOT
SQL Null Values
SQL Update
SQL DELETE
SQL SELECT TOP
SQL MIN and MAX Functions
SQL Count(), Avg(), Sum()
SQL LIKE
SQL Wildcards
SQL IN
SQL BETWEEN
SQL Aliases
SQL Joins
SQL Inner Join
SQL Left Join
SQL Right Join
SQL Full Join
SQL Self Join
SQL UNION
SQL GROUP BY
SQL HAVING
SQL EXISTS
SQL ANY, ALL Operators
How to transpose columns to rows in SQL?
How to select only rows with max value on a column?
SQL Select Into
SQL Insert Into Select
SQL Case
SQL Null Functions
SQL Comments
SQL Operators
SQL Create Table
SQL Drop Table
SQL Primary Key
SQL Foreign Key
Sort multiple columns in SQL and in different directions?
Count the number of work days between two dates?
Compute maximum of multiple columns, aks row wise max?
GROUP BY clause on multiple columns in SQL?
Linear Algebra
01. Introduction to Linear Algebra
02. Types of Tensors
03. Scalars
04. Vectors
05. Vectors Linear Algebra
06. Matrix Types
07. Matrix Operations
08. Orthogonal and Ortrhonormal Matrix
09. Eigenvectors and Eigenvalues
10. Affine Transformation
11. Singular Value Decomposition (SVD)
12. System of Equations
13. Linear Regression Algorithm
14. Principal Component Analysis
Y2_Regression and Regularization
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01-What is Machine Learning Model
02-Data in ML (Garbage in Garbage Out)
03-Types of ML problems
04-Types of ML Problems Part 2
05-Types of ML Problems Part-3
06-Sales and Marketing Use Cases
07-Logistics, production, HR & customer support use cases
08-What ML Can and Cannot Do
09-Data Science vs ML vs AI vs Deep Learning vs Statistical Modeling
10-Introduction to ML Project Workflow
11-Discover
12-Design
13-Develop
14-Testing
15-Deploy
16-Interpreting ML Models
17-Interpreting ML Models Part-1
18-Interpreting ML Models Part-2
19-How to Validate ML Models
20-Need for Validation Sample
21-ML Terminology Part-1
22-ML Terminology Part-2
23-ML Terminology Part-3
24-What is Ensemble Learning
25-Reinforcement Learning Intuition
26-Basic Statistical Concepts Part-1
27-Basic Statistical Concepts Part-2
28- Role of Significance Tests
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Waterfall Plot in Python
What it takes to be a Data Scientist at Microsoft
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