Skip to content
View Sameeksharajsb's full-sized avatar

Block or report Sameeksharajsb

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. 20-Newsgroup-Dataset-Analysis 20-Newsgroup-Dataset-Analysis Public

    An NLP project that compares different approaches to document representation and classification. The techniques used include Topic-modeling, Tf-Idf, doc2vec, SVM, and CNN

    Jupyter Notebook 5 3

  2. Churn-Analysis-Predictive-Modeling Churn-Analysis-Predictive-Modeling Public

    A predictive modeling project that builds an SVM model to predict customer churn. Tests classifiers: SVM, Random Forest, Logistic Regression, and XGBoost. Studies confusion matrices and picks the o…

    Jupyter Notebook

  3. Foundational-Statistics-and-Hypothesis-Testing Foundational-Statistics-and-Hypothesis-Testing Public

    A hub that contains notebooks that perform elementary descriptive statistics of populations and samples and demonstrates 3 hypothesis tests- Welch t-test, Correlation, and Chi-square test. It shows…

    Jupyter Notebook 2 1

  4. Regression-Models-Clustering-and-Dimensionality-Reduction Regression-Models-Clustering-and-Dimensionality-Reduction Public

    A hub that contains notebooks that implement Regression models, illustrates LR via Gradient Descent, compares K-means vs Spectral vs Hierarchical, compares PCA vs t-SNE

    Jupyter Notebook 3

  5. Recommendation-Systems-with-Python-Machine-Learning-AI Recommendation-Systems-with-Python-Machine-Learning-AI Public

    A project that builds Classification-based, Model-based Collaborative filtering systems and Content-based recommender systems. And evaluates recommenders

    Jupyter Notebook 3 1

  6. Store-Item-Demand-Forecating-Time-Series-Modeling Store-Item-Demand-Forecating-Time-Series-Modeling Public

    A time-series forecasting project to predict sales for different items at stores using LightGBM that can help with Inventory and Replenishment optimization

    Jupyter Notebook 6 3