ML-Study-Group

Machine Learning Study Group

Week 1

Python for data science
Statistics tutorial

End of Week Project:

Write different functions that will calculate the mean, median, mode, standard deviation, percentiles of a list containing many different numbers

Use the random module to create a rock paper scissors game.

Week 2

Data Analysis with Python using Pandas and Numpy

End of Week Project:

A dataset from kaggle will be used and we’ll be doing some analysis on the data and also to wrangle the data.

Week 3

Data Visualization with Python using Seaborne and Matplotlib

End of Week Project:

A dataset from kaggle will be used and we’ll be doing some visualization on the data.

Week 4

We’ll be working on a dataset as a project which will cover all we’ve done so far

Project detail: We'll be doing a competition on driven data site.

Week 5 - 8:

We'll be building models all through.

We'll learn supervised and unsupervised machine learning.

Machine learning article
wikipedia definition

Machine Learning best practices
Pipelines and feature unions
Machine Learning with python course

Week 5:

Linear Regression in Machine Learning.

Linear Regression for beginners

Week 6

Classification in Machine Learning.

Classification in ML

Week 7:

Introduction to unsupervised learning

Intro to unsupervised Learning

Week 8:

Unsupervised Learning

Model Deployment

Wrapping up with ML

Joining a ML community: AI Saturdays, Data Science Nigeria, Learning and teaching ML

Going for ML competitions on zindi, kaggle

Additional Materials:

1. github tutorials for beginners.

2. Why is jupyter so useful.

3. Data Science tools.