Skip to content
View sahil-ansari-15's full-sized avatar
2 followers · 0 following
  • Mumbai

Block or report sahil-ansari-15

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. Predict-The-Flight-Ticket-Price-Hackathon Predict-The-Flight-Ticket-Price-Hackathon Public

    Hackathon by 'www.machinehack.com'. My Hackathon Rank : 228. Participants in Hackathon : 2600+ (till date 12/01/2021). ML Algorithm used: Random Forest Regressor with hyperparameter tuning.

    Jupyter Notebook 1

  2. CAPSTONE-PROJECT-Identifying-optimal-Location-to-startup-Tuition-Classes-in-Mumbai CAPSTONE-PROJECT-Identifying-optimal-Location-to-startup-Tuition-Classes-in-Mumbai Public

    In this project we will try to find an optimal location to startup Tuition Classes or franchise of existing Classes. This analysis will be targeted to stakeholders interested in opening a private T…

    Jupyter Notebook 1 1

  3. Spotify-Music-Skips-Action-Prediction Spotify-Music-Skips-Action-Prediction Public

    The goal of the challenge is to predict the likelihood of a user skipping any given song during a listening session.

    Jupyter Notebook 1

  4. IBM-Data-Science-Professional-Certificate-Coursera IBM-Data-Science-Professional-Certificate-Coursera Public

    "IBM Data Science Professional Certificate" offered by Coursera consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and librar…

    Jupyter Notebook

  5. Natural-Language-Processing Natural-Language-Processing Public

    Text Mining Analysis: (a) Fetched Tweets from Twitter. (b) Data Cleaning/ Pre-processing. (c) Word Cloud. (d) Sentiment Analysis. (d) TF-IDF matrix.

    Jupyter Notebook

  6. Sales-Prediction-using-Customer-s-past-behaviour Sales-Prediction-using-Customer-s-past-behaviour Public

    Problem statement: Predict whether a customer will purchase from the store given data about customer’s information and past behaviour.

    Jupyter Notebook 1