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yashpasar

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Analysing different data science programs using the education programs dataset using k-means and Principal Component Analysis. Implemented using Pyspark

Brain-Tumor-Classification-and-Detection-Machine-Learning

Refining the Accuracy and Efficiency to classify brain tumor images into malignant and benign using Matlab

MATLAB

Loan-Default-Prediction

A Fraud Prevention System that classifies loans into good loans & bad loans t0 help the banks to decide on whom to offer loans

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Walmart-Sales-Prediction

This project has been implemented in python and aims to predict weekly sales for different departments of walmart stores

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Titanic-Survival-Prediction

Implemented in PySpark

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Association-Rule-Mining

A small exercise to learn association rule mining on the IBM attrition dataset and learn dash to host the model using heroku. Link to the hosted model:

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Cluster-Analysis-and-Decision-Tree-Induction

Who wrote the disputed essays, Hamilton or Madison?

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SMS-Spam-Detection

Implemented in Pyspark

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Predictive-Analysis-for-Airline-Customer-Satisfaction

Analyzing the Yelp review dataset & Predicting the sentiment using only the raw textual data from the upcoming reviews

Customized-Handwritten-Digit-Recognizer

A Digit Recognition system that uses computer vision to interpret intelligible handwritten input from paper documents & photographs

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Sentiment-Analysis-of-Yelp-reviews

Algorithms used: Logistic Regression, K-Nearest Neighbors and Artificial Neural Network

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yashpasar/Analysis-of-data-science-programs-using-Pyspark

yashpasar

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