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Python
Setup Python environment for ML
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+
Deep Learning
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
Logistic Regression – A Complete Tutorial With Examples in R
Caret Package – A Practical Guide to Machine Learning 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
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
Resources
Data Science Project Template
Time Series Project Template
Numpy Cheatsheets
Data Science Projects Bluebook
All Resources
Career Program 🛒
Menu
Blogs
Python
Setup Python environment for ML
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+
Deep Learning
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
Logistic Regression – A Complete Tutorial With Examples in R
Caret Package – A Practical Guide to Machine Learning 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
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
Resources
Data Science Project Template
Time Series Project Template
Numpy Cheatsheets
Data Science Projects Bluebook
All Resources
Career Program 🛒
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01-What is Machine Learning Model
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02-Data in ML (Garbage in Garbage Out)
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03-Types of ML problems
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04-Types of ML Problems Part 2
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05-Types of ML Problems Part-3
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08-What ML Can and Cannot Do
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19-How to Validate ML Models
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24-What is Ensemble Learning
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28- Role of Significance Tests
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Waterfall Plot in Python
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Machine Learning A-Z™: Hands-On Python & R In Data Science
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Machine Learning A-Z™: Hands-On Python & R In Data Science
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Machine Learning A-Z™: Hands-On Python & R In Data Science
Machine Learning A-Z™: Hands-On Python & R In Data Science
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