|Course Name||Python for data science and machine learning|
|Pre-requisites||Python programming essentials|
|Course Duration||45 days|
|Course Fees||None for members|
|Online Batch Timings||Starting in late January|
Chapter 1: Basic statistics
Chapter 2: Statistics in predictive modelling
Chapter 3: Working with CSV and Excel files
Chapter 4: Working with SQL databases
Chapter 5: Numpy
Chapter 6: Pandas
Chapter 7: Data cleaning and preparation
Chapter 8: Scikit-learn
Chapter 9: Visualization - matplotlib and seaborn
Chapter 10: Supervised learning
Chapter 11: Regression algorithms
Chapter 12: Clustering algorithms
Chapter 13: Classification and Prediction
Project title : One for each of classification and regression algorithms
Call/SMS/Whatsapp +91 8073328732 for help.
1. Attend all possible classes. Write to firstname.lastname@example.org, if you are likely to miss any class.
2. Be sincere with practice exercises, respect study materials and say no to piracy.
3. Remember you can not buy knowledge or placement, so try to earn it.