This repository contains various Jupyter Notebooks and Python scripts that are aimed at covering some of the main Data Science fundamentals. The intention is to grow this repo over time, but here are some of the topics covered thus far:
- Clustering
- KMeans
- DBSCAN
- Dimensionality Reduction
- SVD
- PCA
- Natural Language Processing
- TFIDF
- Sentiment Analysis (Transformers/BERT)
- Deep Learning
- Feedforward Neural Networks
- CNN
- LSTM
- Time Series
- ARIMA
- Deep Learning
- Statistics
- Hypothesis Testing
- ANOVA
- Classification
- Logistic Regression
- Decision Tree
- Random Forest
- Support Vector Machines
- Regression
- Linear Regression
- DNN