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anomaly-detection

bankloandefault

The loan default dataset has 8 variables and 850 records, each record being loan default status for each customer. Each Applicant was rated as “Defaulted” or “Not-Defaulted”. New applicants for loan application can also be evaluated on these 8 predictor variables and classified as a default or non-default based on predictor variables.

cab-fare

You are a cab rental start-up company. You have successfully run the pilot project and now want to launch your cab service across the country. You have collected the historical data from your pilot project and now have a requirement to apply analytics for fare prediction. You need to design a system that predicts the fare amount for a cab ride in the city.

car-price-prediction

cracking_the_coding_interview-python-

Solving all the Problems from the book "Cracking the coding interview" in Python

credit-card-defaulters

de-with-databricks

deploying-eda-api

dsa-python

DSA Using Python

ensemblelearning

facial_expressions_recognition-

housepriceprediction-linearregression

image_caption_generator

learngit

letsupgrade-al-ml

Assignments

quora-question-pair-similarity

- Identify which questions asked on Quora are duplicates of questions that have already been asked. - This could be useful to instantly provide answers to questions that have already been answered. - We are tasked with predicting whether a pair of questions are duplicates or not.

sql_prac

Practice and implementing SQL codes.

timeseriesforecasting

twittersentimentanalysis_public

Twitter Sentiment Analysis

vaccinationusageprediction_h1n1

Predict how likely it is that the people will take an H1N1 flu vaccine using Machine Learning Models.