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100-days-of-ml-code

100 Days of ML Coding

bitcoin-price-prediction-

A Machine learning based Bitcoin Price prediction on Yahoo Finance data using classification models like SVM , Logistic Regression, Random Forest and the Time series regression model ARIMA . The project added additional features relevant to the domain and has performed extensive time series tests and analysis.

cyk-and-probabilistic-cyk-parsers

A simple CYK Recognizer and Parser implemented from scratch in Python . The module implements the conversion of CFG to CNF and parsing using the CNF . An extended version of CFG , Probabilistic CFG is included to find the most probable parse tree for a given sentence using Probabilistic CYK Algorithm.

dbms-online-food-ordering-system

A Simple DBMS Project that simulates an Online Food Ordering System , written in PHP and MySQL . Xampp software was used to create DB Tables and write appropriate SQL Functions and Procedures.

electricitymapsdataengineerchallenge

This repository contains the code for the Data Engineer Technical Challenge of ElectricityMaps. The task is to process a stream of events containing electricity production and exchange values and turn it into electricity consumption values for each zone.

extractive-text-summarization

An Extractive Text summarizer built in Python that summarizes the content of an article , given its URL by extracting the most important sentences in the text using weighted word frequencies.

file-system-implementation---c

A Simple File system implemented in C using Inode blocks and Data blocks with provisions to open , close , read , write and delete files in a directory .

hidden-markov-models-pos-tagger

A Parts of Speech Tagger trained on Wall Street Journal 's vocabulary using a Hidden Markov Model . Predictions are made possible by passing the Transition and Emission probabilities of the Hidden Markov Model to the Viterbi Algorithm that makes forward and backward propagation on the test corpus to generate the best sequence of POS tags for a given sentence .

insights-from-twitter-data

An analysis of Twitter Trends data , queried from the Twitter API to explore and analyze both US based and Global Trends and dive deep into some particular topics to gain further insights

java-headline-recommendation-for-rss-reader

A News Headline Recommender implemented in Java that uses K-Nearest Neighbour algorithm to recommend headlines to a given user based on Collaborative filtering of Users' preferences in various features .

leetcode-solutions

A repository with over 8000 solutions to more than 1800 Leetcode problems written primarily in four programming languages (C++, Python, Java, and Javascript).

logistic-regression---diabetes-prediction

Prediction of Diabetes(0/1) from various features using Pima Indians Diabetes dataset

market-basket-analysis-customer-segmentation

Implemented in Python,the project uses Unsupervised learning model to classify the transaction data of customers into clusters based on similarity.The project includes Exploratory Data Analysis,Cohort Analysis to analyze people belonging to different cohorts, RFM Analysis to dig deeper into the purchasing pattern and retention of people ,Association Mining and most importantly clustering of customers using the " K-Means Clustering" algorithm. Libraries such as Pandas,numpy, matplotlib,seaborn etc were used to handle data and aid the visualizations.

mcdonald-s-nutrition-visualization---tableau

Tableau Visualization of McDonald's Nutrition data

mtab-cross-lingual-vaccine-stance-detection

nmt-german_to_english

A Neural Machine Translation model built using a novel technique of reversing the input sequences before passing them through the encoder.

oop-bank-management-system-

A simple Bank Management Application written in C++ that implements the concepts of Object Oriented Programming and File Handling such as Insertion , deletion and updation of files.

predicting-credit-card-approvals

A Machine learning based project implementing Logistic Regression to accept/deny Credit card applications .

rasa-weather-bot

A Weather bot built using RASA NLU framework that requests for Weather data of a given location from Apixu Weather API

real-time-twitter-analysis---spark-streaming-and-kafka

A Real Time Twitter Analysis application that uses a Kafka broker to consume data from Twitter using Tweepy and stores it in a Kakfa Broker . The consumer is a Spark Streaming Application that ingests streaming data from Kakfa Topics, performs analysis and writes them into Elasticsearch and Kibana for visualization.

stack-exchange-tag-recommendation

A simple Python based Flask app deployed in Heroku that can help you look for Stack Exchange Tags ( In the domain of Data Science) that are related to a particular tag using two approaches : Weighted graph and training Word2Vec on the documents(tags) . In short , you can query a tag and the app will fetch you all the related tags in sorted order

tabs-in-plotly-dash

wdl