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Shreyash Shrivastava's Projects

machine-learning-algorithms icon machine-learning-algorithms

Machine Learning algorithms implemented from scratch. Different ML algorithms implemented from scratch. Namely, Multipile Linear Regression and Logistic Regression KNN and Naive Bayes Recrusive Decision Trees Bagging and Boosting (Ada Boost) Yarwosky's Algorithm and Agglomerative Hierarchical Clustering

pca-based-image-classifier- icon pca-based-image-classifier-

Used PCA for dimension reduction of a 25x25 animal image dataset. After the feature extraction step, a KNN classifier to distinguish the images in a 3D plane (3PC extraction). PCA and KNN are implemented from scratch. Matplot is used for 3D visualization.

statistical-distrubution-simulator icon statistical-distrubution-simulator

A python program to simulation different statistical distributions, both uniform and continuous. The program simulates distribution of bernoulli, binomial, geometric, negative binomial, poisson, arbitrary discrete, uniform, exponential, gamma, and normal.

truffle-tutorial-gbtoken icon truffle-tutorial-gbtoken

Tutorial project demonstrating Truffle's ease and ability to deploy contracts and interact with them via web3 and Javascript. We configure the project in truffle.js (and truffle-config.js for Windows PCs) to use a personal (Ganache) blockchain. This can be swapped out with another network (e.g. Ropsten testnet).

wine-recommendation-system icon wine-recommendation-system

A personalized wine recommendation system built using Django 2.0, HTML5, CSS3. To understand the implementation process, click on the blog link below. The website is also hosted live on PythonAnywhere, check the link below to start using it.

worldcup-advanced-sql icon worldcup-advanced-sql

Advanced SQL queries for WordCup Database. Create table statements and referential Integrity constraints have also been mentioned.

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