Create Powerful Visualizations Using MatPlotlib and Pandas (Python) with our FREE 9-Video-Lesson Course
Key Highlights of the course:
- Analyze data and derive insights for your projects
- Create plots, sub-plots and style them
- Annotate your charts to highlight insights, critical comments and point out trends or outliers
- Create bar charts to compare categories.
- Build various variants of bar charts and line charts
- Build histograms and density plots to represent distribution of data points
- Interpret trends between different variables by drawing regression plots on scatterplots
- Perform bivariate analysis of all the variables in a single plot using pair plot
Key Highlights of the course:
- Analyze data and derive insights for your projects
- Create plots, sub-plots and style them
- Annotate your charts to highlight insights, critical comments and point out trends or outliers
- Create bar charts to compare categories.
- Build various variants of bar charts and line charts
- Build histograms and density plots to represent distribution of data points
- Interpret trends between different variables by drawing regression plots on scatterplots
- Perform bivariate analysis of all the variables in a single plot using pair plot
Machine Learning Plus Learners Work At Leading Tech Companies
Apply in 3 Easy Steps!
In < 2 min, make a new account or login using social media / InterviewBit account
Simple 30 min MCQ test focused on aptitude and basic coding to find the right course for you!
Signup with easy EMI Options and avail scholarships to start your learning journey!
Our curriculum will prepare you to tackle the toughest problems in Data Science and ML
Week 1
- Setup Environment
- Functions
- Boolean and Conditionals
- Loops and List Comprehensions
- Strings and Dictionaries
- Numpy Library
Week 2
- Data Wrangling with Pandas
- Conditional Filtering and Sorting
- Missing Value Treatment
- Combining Dataframes
- Data Visualization using Matplotlib
- Project 1 – Data Manipulation and Visualization
8 Weeks
- Python, Jupyter, Numpy, Pandas
- Git, Linux Terminal, File I/O
- Statistics, Probability, Linear Algebra
- Distributions, Sampling, Hypothesis Testing
- Databases, SQL, Index, Partition, Schema
- Web API, Scraping, Automation, Flask
8 Weeks
- EDA, Data wrangling, Feature Engineering
- Supervised & Unsupervised Models
- Ensembling
- Factor analysis
- Predictive Modeling & Forecasting
- Recommender system
8 Weeks
- Keras, TensorFlow, PyTorch
- Neural Networks, Computer Vision, NLP
- Reinforcement Learning
- Research Papers in Deep Learning
- Warehouse – AWS S3, HDFS, HBase, NoSQL
- Ingestion – Kafka
- Analysis – PySpark, YARN, Airflow, Hive
8 Weeks
- Time Complexity, Arrays, Strings, Binary Search, 2 Pointers, Recursion,
Hashing, Sorting, Bit manipulation - Stacks, Queues, Linked Lists, Trees, Tries, Heap
- Greedy, DP, Graphs
- DB and System Design
Programme Fee – Starting at INR 7,200/month. No cost EMI options available
INR 2,50,000 (including GST)
Career Services
Access job opportunities from our 180+ employer partners
Exchange job opportunities with our 20K+ Scaler student community
Practice mock interviews with people working in the industry
Optimize your resume & LinkedIn profile with our experienced experts
Hear from our Machine Learning Plus learners!
What I like about Machine Learning Plus platform is the comprehensiveness in which every course is made. For example, I haven’t seen a 6 hour detailed project course in any other platform. Also, each video is information packed. I get to learn 40 minutes worth of content just in 5 mins lesson of Selva.
Loved the way Selva explained the concepts and solved each and every query of mine. As an enthusiast in this field, I had tried many ad hoc courses before. And always felt incomplete. But this program was comprehensive, with complete support. Thanks team ML+
In my early days of career, I used ML+ content to gain experience on different concepts and projects. The content over there is easy to understand and also very engaging. Many thanks to the team for providing me a platform to play around with data.
