Skip to content
View Sagarlatake's full-sized avatar
  • Citiustech
  • Pune
Block or Report

Block or report Sagarlatake

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. Numpy-End-to-End-in-detail Numpy-End-to-End-in-detail Public

    Repository contains the detailed implementation of numpy with each and every required functions. A beginer data scientist can start learning numpy using this notebook.

    Jupyter Notebook 4 1

  2. Pandas-End-to-End-Tuts Pandas-End-to-End-Tuts Public

    Pandas in deatils tutorials notebook for understanding insights of library and various operations.

    Jupyter Notebook 4 1

  3. Sentiment-Depression--Analysis-Using-Machine-Learning-Decision-Tree-Naive-Bayes-RF-for-Tweets Sentiment-Depression--Analysis-Using-Machine-Learning-Decision-Tree-Naive-Bayes-RF-for-Tweets Public

    Depression Analysis using tweets. Contains implementation notebook, with detailed analysis for depression prediction.

    Jupyter Notebook 6 1

  4. Deep-Learning-mnist-dataset Deep-Learning-mnist-dataset Public

    Implemented a deep learning model on mnist dataset. Notebook contains implementation of deep learning algorithm on mnist-dataset, Classification report is generated for understanding the performanc…

    Jupyter Notebook 1

  5. TimeSeries_Sales_Price_Forecasting_Multivariate TimeSeries_Sales_Price_Forecasting_Multivariate Public

    This repository contains the implementation of machine learning algorithm for forcasting the sales price. It also includes required dataset.

    Jupyter Notebook 1

  6. Crude_Oil_Price_Forecasting Crude_Oil_Price_Forecasting Public

    Repository contains the implementation of crude oil price forecasting. It uses a datset of last 7 yeras for forecasting oil prices in december and january month.

    Jupyter Notebook 1 1