Pinned Repositories
Bladder_Cancer_Prediction
Trying to build a machine learning model to predict Bladder Cancer. This dataset contains 591 cases of bladder cancer, 200 cases of uterine cancer, 201 cases of kidney cancer, 144 cases of cystitis, and 200 cases of prostate cancer.
Computer_Vision_Practice
Data_Analysis_Practices
Data_Structure_And_Algorithm
Heart_Disease_Prediction
Predicting the probability of heart disease based on the user's day-by-day behaviors. Here, I compared five classification algorithms to predict. The Gradient Boosting classifier got around 92% accuracy.
imamahasane
Machine_Learning_Practices
Machine_Learning_Projects
myPortfolio
This is my portfolio website. I am using ReactJS to build this website. Live: https://leafy-palmier-0c7ec5.netlify.app/
Object_Oriented_Programming
imamahasane's Repositories
imamahasane/Computer_Vision_Practice
imamahasane/Data_Analysis_Practices
imamahasane/imamahasane
imamahasane/Machine_Learning_Practices
imamahasane/Machine_Learning_Projects
imamahasane/Python_Practices
imamahasane/Sitka_Weather_Data_Visualization
imamahasane/Bangladesh_Premier_League_Match_Data
imamahasane/Bangladesh_Premier_League_match_prediction
imamahasane/BikerZone
The Bootstrap CSS framework was used in this project to construct a responsive Biker Zone Landing Page. I learned how to create a responsive website without using Vanilla CSS here. liveDemo: https://imamahasane.github.io/BikerZone/ sourceCode: https://github.com/imamahasane/BikerZone
imamahasane/Bladder_Cancer_Prediction
Trying to build a machine learning model to predict Bladder Cancer. This dataset contains 591 cases of bladder cancer, 200 cases of uterine cancer, 201 cases of kidney cancer, 144 cases of cystitis, and 200 cases of prostate cancer.
imamahasane/BPL_In-Depth_Data_Analysis
imamahasane/BricksCloud
imamahasane/ConventionCenter
This project involved creating a responsive Convention Center Landing Page using the Bootstrap CSS framework. Here, I learned how to build a responsive website without utilizing Vanilla CSS.
imamahasane/DataScienceRoadmap
The material that follows is an outline for learning Data Science skills for an absolute beginner.
imamahasane/DeepLearning
imamahasane/G3_Architects
Responsive Landing Page using vanilla CSS. It is a fully responsive design based on mobile and desktop versions. live: https://imamahasane.github.io/G3_Architects/ sourceCode: https://github.com/imamahasane/G3_Architects
imamahasane/Heart_Disease_Prediction
Predicting the probability of heart disease based on the user's day-by-day behaviors. Here, I compared five classification algorithms to predict. The Gradient Boosting classifier got around 92% accuracy.
imamahasane/HomePricesPrediction
imamahasane/InfluencerGear
Responsive Landing Page using vanilla CSS. It is a fully responsive design based on mobile and desktop versions. live: https://imamahasane.github.io/InfluencerGear/ sourceCode: https://github.com/imamahasane/InfluencerGear
imamahasane/JavaScript_Practices
imamahasane/JusticeLegalSolutions
The Bootstrap CSS framework was used in this project to construct a responsive Justice Legal Solutions Landing Page. I learned how to create a responsive website without using Vanilla CSS here. liveDemo: https://imamahasane.github.io/JusticeLegalSolutions/ sourceCode: https://github.com/imamahasane/JusticeLegalSolutions
imamahasane/LeaderBoard
Responsive webpage using vanilla CSS. live: https://imamahasane.github.io/LeaderBoard/
imamahasane/LungCancer
imamahasane/manageLandingPage
Created a "Manage Landing Page" using Tailwind CSS. It is a fully responsive design based on mobile and desktop versions. Live: https://imamahasane.github.io/manageLandingPage/
imamahasane/NYC_Taxi_Trip_Duration
imamahasane/RevealLandingPage
Using the Bootstrap CSS framework, the responsive Reveal Landing Page for this project was created. Here, I learned a different way to create a responsive website without using Vanilla CSS. liveDemo: https://imamahasane.github.io/RevealLandingPage/ sourceCode: https://github.com/imamahasane/RevealLandingPage
imamahasane/TechCompany
imamahasane/UniversityDemoSite
imamahasane/PyTorch