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clustering-of-countries

The objective of this project is to categorise the countries using some socio-economic and health factors that determine the overall development of the country and then accordingly suggest the NGO the country which is in dire need of help.

cotton-disease-prediction

In this dataset we are provided with images that belong to 4 classes : diseased leaf , diseased plant , fresh leaf and fresh plant. The objective of this study is to create a CNN model to help us predict whether these image of the leaf/plant belong to the diseased category or the healthy category.

credit-card-fraud-detection

Detect potential frauds so that customers are not wrongly charged for items that they did not purchase.

deploy-heroku-1

Deploy an Image Classification Model on Heroku

heroku-deployment

ipl_analysis

Data is really only valuable if we can translate it into actionable insights. Gaining these insights starts with figuring out what we want from our data. This project will help you understand how to perform analysis on IPL data to derive meaningful insights & make predictions.

lead-scoring-casestudy

Lead Score Case study solved using Logistic Regression Model

linearregression-carpriceprediction

Car Price Prediction : Predictions made by using linear regression aaproach

mnist-neuralnetwork

we will implement an L-layered deep neural network and train it on the MNIST dataset.

sailyshah

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

stock-market-analysis

The objective of this assignment is to determine which stocks can be bought/sold/held based on the moving averages calculated for a period of 20 days [short term] to 50 days [long term].

telecom-churn-case-study

Analysing customer-level data of a leading telecom firm, building predictive models to identify customers at high risk of churn and identifying the main indicators of churn.