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anime-recommendation

It gives the anime recommendation based on total rating counts, average rating counts, genre and finally the genre of selected Anime.

autograding-using-natural-language-understanding

Auto grade the cumulative text responses of the students based on originality, sentiment analysis, effort and constructive in the responses.

book-list-using-python

It prepares a book list based on top books of the month from New York Times best Book sellers data. It gives list of best books in five categories.

collaborative-filtering-movie-recommendation

Using User-user similarity model, recommend the movies using collaborative filtering

content-based-movie-recommendation

Movie recommendation based on content the user likes. It considers genres and ratings of the movie while recommending.

customer-segmentation-using-clustering

Cluster segmentation using K-Means for two different dataset

decisiontreeoptimization

The program uses decision tree classification to predict whether the user purchased or not based on salary and age. Optimization was done and accuracy was increased by 7%. A decision tree visualization is also given by the program..

dphi-datascince-projects

Data science projects as a part of data science bootcamp on Dphi

electricity-consumption-forecasting

Time series analysis to predict the electricity consumption in future.

fastai-nlp-projects

The projects as the part of Natural Language Processing course by Fast AI and Rachel Thomas

flask-elastic-beanstalk

fraud-detection

Fraud Detection using Classification and Graph Database

gender-prediction-by-voice-recognition

Predicted the gender by voice recognition using Random Forest Classifier and Decision Tree Classifier.

geo-spatial-analysis

This repository contains the data science capstone project which is the final project of IBM Data Science Professional Certificate

heroku-deployment-demo

Predict insurance amount based on human features using regression and deploy model to Heroku.

iphone-sales-analysis

Predict whether a person will purchase iphone or not. The data has four columns: Gender, Age, salary and if iphone purchased or not. Various classifiers predicted the output and their performances are compared.

neural-network-from-scratch

Neural network built from scratch.

nlp-projects

The repository contains various NLP projects done as a part of NLP specialization by deeplearning.ai

pytorch-projects

Projects using pytorch for classification, regression and deep learning.

result-calculatation-from-slack-data

Calculate students total points from text mining of messages of Slack workspace. Create graph of result and mail students the result.

samip-thakkar

sarcasm-detector

It tries to detect whether the given input is sarcastic or not based on models trained on dataset of over 55000 strings with output label.

scaffold

This is project scaffold for Python

sentiment-analysis-using-bert

Sentiment Analysis based on Google Play Store Reviews using BERT

stock-market-prediction

Predict the stock price of Alibaba using the data of stock price of 21 years. ARIMA time series model was used to predict the stock's price.

vehicles-clustering

Using hierarchical clustering, find the most distinctive clusters of vehicles. It will summarize the existing vehicles and help manufacturers to make decision about the supply of new models.

weather-patterns-using-kmeans

Given the data of 1.5 million rows and 13 columns of whether of each minute of San Diego, it tries to find pattern among the data using clustering- an unsupervised Machine Learning algorithm.