Data Science with python

Author : Joshua Owusu Ankomah

Note : This repo is still under construction.

I have created this repo to touch base on the fundamentals of python .

With the intention of bringing your python knowlegde up to speed to enable your transition into Data Science

Workflow : I will be adding more topics each week as we complete each chapter and fun exercises

Lesson Guide

Session 1: Introduction to python

Part 1: Python Data Types

• Why Python?
• Introduction to Data Types
• Jupyter Notebook
• Python Variables
• Operators
• Integers and Floats
• Strings -String Indexing
• Printing Strings
• Lists
• Tuples
• Dictionaries
• Importing Packages and Documentation
• Practice With a Partner

Part 2: For Loop and while Loop

Part 3: Functions , map( ), reduce( ) , lambda( ) , containers

Part 4: Regex, OOP

Part 5: Numpy

Part 6: Pandas

Part 7: Data Visualisation

Part B: Data Engineering

• Part 8: SQL

• Part 9: Flask,MongoDB

• Part 10: Webscraping

• Part 11: API , json

Session 2: Statistics

• 01.Statistics
• 02.Probability

Session 3: Linear Algebra , Calculus

• 01.Linear Algebra

• 02.Calculus

Session 4: Data Cleaning and EDA

• Part 13: Data Cleaning

• Part 14: Exploratory Data Ananlysis

Session 5: Introduction to Machine Learning

• Part E: Feature Engineering

• Part 15: Feature Engineering

Part F: Machine Learning Algorithms

• Part 1: Linear Regression

• Linear Regression Projects

• Part 2: Logistic_Regression

• Logistic Regression Projects

• Part 3: Decision Trees

• Decision Tree Projects

• Part 4: Ensemble Methods

• Part 5: Random Forest

• Part 6: Boosting

• Part 7: KNearest Neighbors

• Part 8: XGBoost

• Part 9: Naive Bayes

• More_Projects

Part G: Unsupervised Learning

• Part 11: Clustering

• Part 12: PCA - Principal Component Analysis

• Part 13: Anamaly Detection

• Part 14: Timeseries

Version Control: One and only GitHub ❤️

Language for this project: Python

Please feel free to keep in touch if you have any queries or would like us to work together on a fun project 😉

Connect with me

Thank you for your patience. I am working really hard each day to get this materials ready and most importantly for free.