Machine Learning C++

Assumptions of Logistic Regression, Clearly Explained

人工智能检测恶意URL

This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.

Sentiment analysis of IMDB dataset.

Fruit Count prediction using its shape and size using Machine Learning

This is repository about the MachineLaering Basics including all the Machine learning Algorithms

It includes my work on Machine learning during Coursera Assignment. It includes Linear regression and Logistic regression working model .It also include Neural Network implementation and Backpropagation Algorithm .It also include SVM implementation and also a Spam Classifier using SVM.

A repo holding the implementation as well as some theoretical explanation of the important relevant concepts. It is going to be in development for a long long time. I'll keep adding things everytime I have something to add to it, and I have the time for it. One can use it to learn the basics of Machine Learning from kind of scratch.

Running a targetted marketing ads on facebook. The company wants to anaylze customer behaviour by predicting which customer clicks on the advertisement

Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.

Loan Prediction using Classification Techniques

Implementation of all basic algorithms needed in Deep Learning

Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department

As part of this project, I have used Machine Learning (classification) algorithms for classification of tumors in Human Breasts as Non-Cancerous/ Benign or Cancerous/ Malignant tumors.

Bank Precision Marketing Solutions-- using Logistic Regression and Tree Algorithms

A simple classification problem where SVM, Logistic Regression, KNN and Decision Trees algorithms are used and the F1-score with Jaccard similarity scores are found out.

This repository containts the projects that I have done along With my Data Science MOOCs from Coursera.

python-logisticregression

As part of this project, I have developed algorithms from scratch using Gradient Descent method. The first algorithm developed will be used to predict the average GPU Run Time and the second algorithm will be used to classify a GPU run process as high or low time consuming process.