In this course we will work with the following resources:
- Jupyter Notebooks with code snippets relevant to the pertaining topic
- Materials to upskill your understanding on the topic and help you see in new light
- Cheatsheets for every topic to help you think in the nick of time
Below is a brief description of what a learner can expect from this program:
- The initial Days would lay the foundations in programming & statistics on which we would model our study on machine learning.
- We'd start with Python followed by the basics of Object Oriented programming. Following this we'll slowly advance into Numpy, Pandas and Visualizations
- Once we get a tight hold on Python, we'll venture into statistics and exploratory data anlaysis which would involve a lot of the python and visualzation skills.
- We also learn linear and logistic regression.
This project uses the following software and Python libraries: NumPy, pandas, Sklearn / scikit-learn, Matplotlib (for data visualization), Seaborn (for data visualization)