Machine-Learning-L1

Mentorship Repository for Machine Learning Type = Level 1

www.twoleaps.com

Repository Navigation Guide

• Mentee needs to fork this repository.
• Mentor needs to join as a contributor.

This template is designed to assist Twoleaps mentorship program. The template consists of two major sections: Goals and Progress tracker. Mentors and mentee should add goals prior to start of mentorship. Goals should be such that both party agree on. Progress tracker is to be updated on week by week basis with new tasks to complete the defined goals. For each week, a folder in the repository has to be maintained which captures the work done. It can be a small essay of things learned or written code etc.

Providing Feedback

Regular feedback is highly encouraged. Feedbacks should inspire improvement. Mentors should summarize week by week progress in form of feedback whenever possible and add it to the weekly work folder in form of week1/feedback.md

Timeline

<Add mentorship timeline here in weeks. Example: 8 weeks starting 10th August>

Goals

The objectives of the mentorship should be listed down here. They can be customized over time by the mentor or the mentee's preferences.

Path

Phase 1

• Breaking the Ice
  • Machine Learning Using Example
  • Visual Guide to Machine Learning
  • Introduction to Machine Learning for Developers
  • Video Explaining Machine Learning
  • Why Machine Learning is the Future
  • ML is Fun
  • ML is More Fun

Phase 2

• Prep Before the Launch
  • Guide to Linear Algebra
  • Brief Introduction to Probability Statistics
  • Basic Probability
  • Learn Python
  • Basic Pandas
  • Basic Numpy
  • Environment Setup (Anaconda, ipython, jupyter notebook)
  • Introduction to Scikit
  • Introduction to Matplotlib

Phase 3

• Mini Project 1

  • Defining Problem Statement
  • Data Preparation
    • Data Cleaning
    • Data Transformation
  • Data Visualization (Pretty Plots)
  • Mathematical Modelling
  • Mathematics to Programm
  • Model Checking/Feedbak

• Project Presentation

  • Blog
  • Well documented codebase
  • Application Development

Phase 4

• Major Project
  • Repeat Phase 3

Phase 5

• Future Scope
  • Deep learning
  • Different fields in ML
    • Natural Language Processing
    • Image recognition
    • Signal processing
  • Where to go next?
    • ML Research
    • Kaggle