These instructions will help you to build up the environment to build a copy of the project up and running on your system.
To run this project on your system, you need following softwares and python module installed on your system:
- Numpy (For mathematical formulations)
- Matplotlib (For visualisation)
- Pandas (For manipulating dataset)
- OpenCV (For manipulating images)
- Sklearn (For implementing certain algorithms)
If you don't have the above you can install the with following commands
(For Linux you need to use pip3 and for windows use pip)
pip3 install numpy
pip3 install matplotlib
pip3 install pandas
pip3 install opencv-python
pip3 install sklearn
Here are the list of projects I implemented under the machine learning:
- Air quality index : Model used Linear Regression
- Chemical Segregation : Model used Logistics Regression Classifier
- Instagram Collage : Tried to implement OpenCV methods to manipulate images
- Movie Recommendation System : Tried with the help of pandas, to recreate youtube/google like recommendation system (Though with some constraints)
- Movie review sentiment analysis: Analysis of the sentiments in movie review with Naive bayes classifier and nltk toolkit.
- Color Extraction: Extracting dominant colors from the given image using k-Means clustering.
- Automatic Codechef submission: Automatic codechef submission with selenium.
You can follow me for projects on