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A day to day plan for this challenge. Covers both theoritical and practical aspects

Jupyter Notebook 100.00%
machine-learning python eda vizualization 100daysofmlcode datascience tutorials siraj-raval-challenge machine-learning-algorithms infographics

100-days-of-ml-code's Introduction

100 Days Of ML Code

100 Days of ML Code challenge

โ˜๏ธ This Banner Design by my buddy Sheikh Anikul Islam Hani:octocat:.He is awesome person.๐Ÿ‘Œ ๐Ÿ‘ค

The creation of this repository was inspired by Siraj Raval's challenge to code machine learning for at least an hour everyday for 100 days. I nervously accepted this challenge in addition to working full time in the 2018 summer semester. I will use this repository to store code, jupyter notebook examples, and thought processes.

You can follow me on @Mediumfor interesting blog articles.

Day 0 : Aug 5 to 6 , 2018 | Challenge Starting peparation

Today's Progress : I have setup all the things I needed to complete this challenge and also completed chosing the projects I will work on .

Thoughts : Hope this will be exiciting ,will help me in learning Machine Learning in a more effective way .

Today's Progress : I have completed article and code for Crash course of Data Science and ML with Python.

Thoughts : It is challenging for Beginners.But i will try easily explain of all things for Crash course of Data Science and ML with Python.

Link of Work: Article => code

Day 2 : Aug 8 , 2018 | Exploratory Data Analysis(EDA)

Today's Progress : Today I've spent many hours exploring Exploratory data analysis.It plays a role in the work of data science and machine learning.

Thoughts : I am giving a brief intro of Exploratory data analysis(EDA) in Python with help of pandas and matplotlib.And I am using a dataset on Super Store's for this.

Link of Work: Article => code

Day 3 : Aug 9 , 2018 | Data PreProcessing

Data Prepocessing

Today's Progress : Today I've spent many hours exploring Data Preprocessing.Check Out โ˜๏ธ this Amazing Infographic I made which gives a complete step by step guide to data preprocessing.

Link of Work: Article => Code

Day 4 : Aug 12 , 2018 | Simple Linear Regression

Simple Linear Regression

Today's Progress : Today I've spent many hours exploring on Simple Linear Regression, check it out. I think infographics are a worthy replacement of lengthy articles on these topics.

Link of Work: Article => Code

Day 5 : Sep 29 , 2018 | Decision Trees

Decision Trees

Today's Progress : Today I've spent many hours exploring on Decision tree classification algorithm. I think infographics are a worthy replacement of lengthy articles on these topics.

Link of Work: Article => code

Text Summarization

Today's Progress : Today I've spent many hours exploring on Text summarization on NLP.

Link of Work: Article => code

Day 7 : Jan 11 , 2019 | Artificial Neural Networks (ANN)

ANN

Today's Progress : Today I've spent many hours exploring on Artificial Neural Networks (ANN).

Link of Work: Article => code

Day 8 : Jan 17 , 2019 | Naive Bayes

Today's Progress : Today I've spent many hours exploring on Naive Bayes (NB).

Link of Work: Article => code

Day 9 : Jan 20 , 2019 | Twitter Sentimental Analysis

Today's Progress : Today I've spent many hours exploring on Twitter Sentimental Analysis(TSA).

Link of Work: Article => code

Day 10 : Jan 22 , 2019 | Support Vector Machine

Today's Progress : Today I've spent many hours exploring on Support Vector Machine(SVM).

Link of Work: Article => code

Day 11-13 : Feb 2,4,7 , 2019 | A 3 day Python Bootcamp for ML Beginners

Today's Progress : A simple effort from me to make a Python bootcamp 3 Days for beginners who are enthusiastic about Machine Learning.

Link of Work: Article => code

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