Hamza Ansari (hamzansariii)

hamzansariii

Geek Repo

Location:Mumbai

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Hamza Ansari's repositories

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recommender-system

An integrated end-to-end ML model with a website that suggests books to a user based on how other users have rated the books.

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Freecodecamp-Responsive-Web-Design-Course-Projects

Freecodecamp's Responsive Web Design course has 5 projects. These projects were tested on codepen. Here, I've included all the source code for the projects.

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Freecodecamp-Scientific-Computing-with-Python-Course-Projects

Freecodecamp's Scientific Computing with Python course has 5 projects. All of these projects were written and tested on replit.

Python-Crash-Course-Book-Solutions

Python Crash Course by Eric Matthes, is one of the fantastic books for learning python as a beginner. This repo has my own solution to the problems mentioned after each chapter.

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Static-Website

techie-just read it, a static website is build using html, css, bootstrap and hosted on live server extension on vscode. There is a preview video link mentioned in the readme which can give you an overview.

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Interactive-Analysis-Web-App

This interactive web analysis application deployed on the Heroku PAAS platform . Summer Olympics data from Kaggle has been analysed, and important conclusions have been drawn from the data.

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Titanic-Survival-Prediction

[In the top 20 percent of the Kaggle competition] To predict the survival of passengers on the Titanic, a classification model was developed with the  Implementation of Sklearn-Pipeline for feature engineering and model construction using ColumnTransformer.

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Feature-Encoding-Techniques

Many machine learning algorithms are good with numerical data that is why it is very essential to covert the categorical data to numerical data through feature encoding techniques.

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Feature-Scaling

Feature scaling is an important steps for certain algorithms to improve their accuracy. Learn what are those scaling techniques and how to apply them.

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Handling-Missing-Data

Know about all the different techniques to handle missing data to make better ML models.

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Principle-Component-Analysis

To reduce the curse of dimensionality one way is to do feature extraction, of which the PCA technique is a famous and effective one.

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WebRTC-video-call-application

Video chatting web app

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