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Abdul Wajed Farhat's Projects

classification-algorithm-from-scratch icon classification-algorithm-from-scratch

The perceptron algorithm is the basic algorithm for classification, which serves as the backbone of the Neural Networks and SVM linear classification. This code will provide a deep understanding of the algorithm by taking you through it from scratch.

digit_recognizer icon digit_recognizer

Digit recognizer with 97.5% accuracy according to the Kagle scoring. I used different algorithms like; SVM, KNN, and Decision Tree

exercise_with_real_data icon exercise_with_real_data

This repository is containing exercise notebooks for pandas, Numpy and Matplot libraries. The exercises are all working on real life data.

fruaddetectiondataanalytics icon fruaddetectiondataanalytics

Given a trained dataset with feature variables ( aka predictor variables) generated a method of cleaning and generating a predicting algorithum

linkedin-skill-assessments-quizzes icon linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test

loan_approval_prediction icon loan_approval_prediction

A real life project, predicting the approval of loan for a particular customer with particular features using logistic regression.

matlab-code icon matlab-code

These two MATLAB files are for prediction of stream flow using phase space reconstruction technique. Predict5.m is the function code which can only predict one value and Pred_all_in_once.m file is the command code which uses the function code to predict more than one value and it can take the input from multi-stations, can perform for multi nearest

regression icon regression

linear and logistic regression is two approach for modelling the relationship between the input and output. linear regression is used for numerical variables, while logistic regression is used for categorical variables.

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