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HackYourFuture - Introduction to Python and Data Science tools

In this 5 week module we will introduce students to Python as well as the basic concepts and techniques of Machine Learning. To develop skills of using recent machine learning software for solving practical problems. To gain experience of doing independent study and research.

Prerequisites

Prerequisites Introduction to Python and Data Science tools

This course is directed to HackYourFuture Alumni and everyone is expected to have the basic notions of programming.

Preparation

Preparation Introduction to Python and Data Science tools

Please check the Installation guide below.

Environment setup

Environment setup Introduction to Python and Data Science tools

Installation Guide : Install python 3.75 and Pycharm community (free) version for practical concepts.

For more information, please check this link :https://www.guru99.com/how-to-install-python.html

Planning

Week Topic Preparation Lesson plan Homework
1. Introduction about course and Python
1.Introduction to Machine learning + application
2.Python installation + Pycharm
3.Python basic course.		 Preparation Lesson plan Homework
2. More Python and preparation of data
1.More Python1
2.Installing anaconda + Jupyter notebook
3.Importing libraries
4.Input Dataset.		 Preparation Lesson plan Homework
3. Basic Life cycle of ML model
1.Data cleaning
2.Splitting the dataset into training/test dataset
3.Create a model
4.Train a model
5.Make predictions
6.Evaluate and improve
7. Spam classification/prediction system
Preparation Lesson plan Homework
4. Building your own model
1.Introduction to Linear regression.
2.Building of a ML predictive model for Co2 emission based on engine size using Linear regression.
Preparation TBD Lesson plan Homework TBD
5. Follow-up on last week’s work and ML Tree structures
1.Supervised learning
2.Unsupervised learning
3.Reinforcement learning		 Preparation TBD Lesson plan Homework TBD

External Documentation

External Documentation Introduction to Python and Data Science tools Content

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Contributors

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