Hello awesome devs,
I made a repository for various algorithms & techniques used in Machine Learning, Deep Learning and NLP around 2 years ago. I have implemented these from scratch as well as with the help of python libraries. It covers topics such as :
• Linear Regression
• Logistic Regression
• Gradient Descent
• Decision Tree
• Random Forest
• Naive Bayes
• PCA
• SVM
• Neural Networks
• Tensorflow : ANN, CNN and RNN
• Unsupervised Learning using K-Means from scratch
• NLP using NLTK
• Web Scrapping, Python Data Structures, Conda Setup and much more !
Here is the repository link : All about Data Science : Repository Link
Please star ★ the repository incase you find it useful.
Till date, I have used this repository for these implementations when I want to use ML/DL/NLP as a tool in any of my ongoing project.
Happy Coding, dev fam !
Top comments (2)
Nice repo. Lots of different examples!
Thank you !