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advertisment-click-prediction

USING THE LOGISTIC REGRESSION ACHIEVED 100% ACCURACY WITH THE TEST DATA AND NORMALIZED OR STANDARDIZED DATA. I HAVE ALSO VISUALIZED DATA TO UNDERSTAND DEPENDENCIES PRECISELY AND CLEAN THE DATA APPROPRIATELY.

basic-html-project

breast-cancer-data-analysis-and-diagnosis-

Different Models are created for the Breast Cancer Diagnosis on the basis of the Dataset provided by WISCONSIN, applied different feature scaling and then came up with the model with the feature scaling which diagnosis highly precisely.

dailymagazinestartup

diabetic-retinopathy-detection-using-machine-learning-algorithm

This is the directory for the diabetic retinopathy detection built under the artificial intelligence project.

facemask-detection-

factorial-trailing-zeroes

fake-news-detection-using-flask-app

I and my teammates have built a web app which can detect fake news to very good accuracy

gridsearchcv_using_breast_cancer_prediction

Breast Cancer dataset is Visualized and Support Vector Machine Model is deployed and the accuracy matrix is improved by using the Grid Search CV to set the right parameter for a better score. Prediction Accuracy is 94%

hackerrank

hackerrank-solutions

The Repository contains solution to all the questions of HackerRank. Proper and optimized solution in Python with all test cases passed.

hackerrank_sol

happy-number

internship_task

The Repository Contains the Code to convert xml file to CSV and upload it to the S3 Bucket

iris_dataset_prediction_gridsearchcv

IRIS dataset is Visualized and Support Vector Machine Model is deployed and the accuracy matrix is improved by using the Grid Search CV to set the right parameter for a better score. Prediction Accuracy is 100%

knn_model_project_1

Performed data analysis on classified data along with prediction using KNN and also applied Elbow Method in order to find the Accurate value for K and also applied standardization of Data to get much accurate result

knn_model_project_2

About Performed data analysis on classified data along with prediction using KNN and also applied Elbow Method in order to find the Accurate value for K and also applied standardization of Data to get much accurate result

kyphosis_dataset_prediction-

Kyphosis dataset analyzed and predictions carried out using two Classifier Algorithm called Decision Tree and Random Forest and achieved accuracy of 76% for Decision Tree and an Accuracy of 96% for Random Forest. The Dataset was small hence the predictions can be much more better if the dataset was more

leetcode-excel-sheet-column-number

leetcode-excel-sheet-column-title

leetcode-solutions

loan_repayment_prediction

LOAN DATA FROM LENDINGCLUB.COM WHICH CONNECTS THE BORROWERS WHO NEED MONEY TO THE INVESTORS. WE ACHIEVE AN ACCURACY OF 73.7% FOR DECISION TREE MODEL AND A ACCURACY OF 84.5% FOR RANDOM FOREST MODEL FOR PREDICTION IF LOAN PROVIDED WILL THE BORROWER REPAY IT OR NOT DATA IS VISUALIZED AND ASSESED WITH DIFFERENT SORTS OF DATA WE OBSERVE THAT RANDOM FOREST MODEL IS BETTER THEN THE DECISION TREE MODEL AND WE DID NOT APPLY FEATURE SCALING BECAUSE DECISION TREE AND RANDOM FOREST IS INDEPENDENT OF THE FEATURE SCALING HANCE THE RAW DATA CAN BE APPLIED DIRECTLY.

netflix-recommendor-and-data-visualization

power-of-two

prabal4546

pratham12s

rectangle-area

speak-wikipedia

A GUI which helps you scrape the Wikipedia and helps blind people listen to the information and Technology news

titanic-data-visualization-and-prediction

The Features of Titanic Dataset is visualized and Predictions are made using the classification algorithm LOGISTIC REGRESSION all the operations were carried out on Google Colab.