A day to day plan for this challenge. I will mainly focus on covers both theoretical and practical aspects machine-learning.
Rules
Today's Progress: Some basic knowledge of Data Science and Python.
Thoughts: I figure out some basic functionality of Data Science which maybe helpful for my final year project.
Today's Progress: Build a simple ML Project about Classifying male-female by height weight and shoesize.
Thoughts: This is my first project on using sklearn to predict gender. The data include 11 people with their heights, weights and shoe size. There are 5 classifiers that I used for this project: Decision Tree, Nearest Neighbors, Random Forest, Logistic Regression and Support Vector Machine. Apart from Logistic Regression, All 4 Classifier gave me the exact result which is 'Male'. Motivated from 'Siraj Raval' Data Science Playlist .
Link to work:
Today's Progress: Completed the short project on Twitter sentiment analysis.
Thoughts: It was very lengthy process to find the Twitter's API. After all , I've finished the work smoothly. It is also motivated from 'Siraj Raval' Data Science Playlist .
Link to work: