📁 Projects and Technical Blogs

• AyaFestPe: A multi-lingual and multi-cultural festival exploration guide

  [GitHub] ▪ [Colab] (using Cohere API) ▪ [Kaggle] (Using released model weights, with quantization)

• ⭐⭐ Online ML University ⭐⭐

  A curated list of FREE courses available online from top universities of the world on CS-DS-ML! Currently 150+⭐ in GitHub!

• 📑 Paper Organization and Collection

  • Awesome ICML 2024 Graph Paper Collection : List of all graph and/or GNN papers accepted at ICML'24, grouped by topic and sub-topics with analysis. Currently 160+⭐ in GitHub!
  • Awesome ICLR 2024 Graph Paper Collection : List of all graph papers accepted at ICLR'24. Currently ~70⭐ in GitHub!
  • Awesome ICLR 2024 LLM Paper Collection : List of all LLM papers accepted at ICLR'24. Currently ~35⭐ in GitHub!

• Course Resource Hub:

  CS-DS-ML Course Resources!
  
  • Machine Learning Specialization - Coursera: Currently ~235⭐ in GitHub!
  • Deep Learning Specialization - Coursera: Currently ~35⭐ in GitHub!
  • DataCamp: Currently ~40⭐ in GitHub!

• Bias-Variance Tradeoff |Tutorial with NumPy & Seaborn

  A brief tutoial on Bias-Variance Tradeoff. Used pandas, numpy, seaborn, Scikitlearn.

• Divorce Prediction & Reasons : Machine Interpretation Analysis with XGB, SHAP, RFE

  A detailed exploratory data analysis of Divorce with necessaey Viz. Predicted with XGBoost. Then, analyzed featured for PCA. Used pandas, numpy, seaborn, xgboost, shap, scikit-learn.

• Time Series Analysis and Forecasting

  A detailed blog tutorial on different time series analysis methods and examples.

• Clustering | Techniques & Algorithms Analysis

  A brief tutoial on different Clustering Techniques & Algorithms.

• Intro to Imputation | Different Techniques

  A brief tutoial on Different Techniques of Imputation. Used pandas, numpy, seaborn, Scikitlearn, XGBoost.

• Tutorial of Top 7 Cross Validation Methods

  A brief tutoial on 7 Cross Validation Methods. Used pandas, numpy, seaborn, Scikitlearn.

• Intro to Clustering | Different Methods and Techniques

  A brief tutoial and analysis on Clustering. Used pandas, numpy, seaborn, Scikitlearn.

• Export Processing Zones | EDA + Statistical Analysis

  A detailed exploratory data analysis of Export Processing Zones of BD with necessaey Viz. Used pandas, seaborn, plotly, geopandas & bokeh.