chatterjee__'s repositories
MyPortfolio
This is my official Portfolio
ArpitaChatterjee
About ME !!
ChatBot_GeniSys
Purpose- To Solve FAQs of a university
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Routine-Analysis-of-a-Comedian
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 similar comedians based on similar preferences.
Biometric-Attendance
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 face_distance, if the face_distance of the test and training dataset is more than the threshold value then the result is saved and stored along with the time of input in the file.
Algo_Ds_Notes
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Price-Prediction
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 of 87% and deployed the website on Heroku.
tensorflow-1
An Open Source Machine Learning Framework for Everyone
Movie-Review-Sentiment-Analysis
Text classification model which trains a recurrent neural network(RNN) on the large movie review dataset for sentiment analysis.
Object-DetectionTF
Build using Haar-Cascade Algorithm and Tensorflow to detect live-object
Book-Recommendation-System
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 function was created which would determine the similar users to the given user input and determine the similar item of the given item to the user as a result.
Covid-19-Tracker-with-VoiceAssistant
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 speech to text conversion library, the input was taken from the user in the form of Voice Note which was then converted into text format and by calling the API, generated during web scrapping; it threaded all the information from the website and provided the required output in the form of both speech and text.
Tech-Interview-Cheat-Sheet
Studying for a tech interview sucks. Here's an open source cheat sheet to help
zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
HousePricePrediction
Predict House Price using Ridge & Lasso Regression Model
Play-Generator
Using RNN