Skip to content
View ArpitaChatterjee's full-sized avatar
🇦🇨
🇦🇨
Block or Report

Block or report ArpitaChatterjee

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
ArpitaChatterjee/README.md

Arpita

I'm a Software Engineer.

  • 🌱 Passionate about Machine Learning and NLP .

  • 👯 Looking forward to collaborate with projects where i can enhance my knowledge and skills in the field of ML.

  • 🥅 Always motivated to learn New Technologies and Contribute more to Open Source projects .

    Languages and Tools

Connect with me:

Arpita Arpita | LinkedIn Arpita | Telegram Arpita | Facebook Arpita | Instagram


Willing to collaborate on something intresting, Ping me!!


My GitHub Stats 💻

Arpita's GitHub stats

Top Langs


Pinned

  1. Price-Prediction Price-Prediction Public

    Build an AI Website using machine learning algorithms to predict the selling price of cars using various features given as input and displaying predicted selling price as an output with an accuracy…

    Jupyter Notebook 1

  2. Routine-Analysis-of-a-Comedian Routine-Analysis-of-a-Comedian Public

    Build a dataset using the transcript for the 10 popular comedians, using web scrapping, and applied various NLP techniques like sentiment analysis, topic modeling, text generation, and recommended …

    Jupyter Notebook 1

  3. Covid-19-Tracker-with-VoiceAssistant Covid-19-Tracker-with-VoiceAssistant Public

    Built a Covid-19 tracker in python, where data of total no. of cases, total no. of deaths, total no. of recovered cases of all the countries was scrapped and an API was generated.With the help of s…

    Python 3

  4. Book-Recommendation-System Book-Recommendation-System Public

    Build a user-item rating matrix; based on which correlation between each item and the user, was determined and with the help of 'cosine' similarity metrics, user-based and item-based recommendation…

    Jupyter Notebook 1

  5. Movie-Review-Sentiment-Analysis Movie-Review-Sentiment-Analysis Public

    Text classification model which trains a recurrent neural network(RNN) on the large movie review dataset for sentiment analysis.

    Jupyter Notebook 1

  6. Biometric-Attendance Biometric-Attendance Public

    Built a Facial Recognition Model in Python. Used Face Recognition library, to detect the face locations and their encoding in the training dataset. Compared faces with the test dataset, using the f…

    Jupyter Notebook 1