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Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
NASA Project; Plastic Marine Debris Classification-Machine Learning Software
I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.
India is one of the countries with the highest air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and the India-Bangalore region. Also, the data was collected through web scraping with the help of Beautiful Soup.
Machine Learning and Data Mining based project to make a predictive model for real time vehicular traffic
Multi-label classification of various tree types
Machine Learning Prediction Software Based on Classification and Regression Based on Processor [CPU] Specifications
Machine Learning Software Predicting Germany's Economic Development from 2015 to 2019
Classifying Forest Cover type
It contains the code for the deployed streamlit app which helps to determine importance of features for classification datasets using Random Forest and Extra Trees Classifiers
A prediction model that uses genetic data for disease classification. Data is extracted from a DNA microarray which measures the expression levels of large numbers of genes simultaneously.
CS5228 Kaggle Inclass Competition: Predicting if Income > 50K
Predicting wildfire risk using classification and regression tools. My final project as part of the Metis data science bootcamp.
A Comparative analysis of machine learning models on Quora Question Pair dataset
Iris Species Classification usin various ML models.
This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.
IST 5520 Data Science and Machine Learning in Python Project, where we developed a predictive model to predict the vehicle emission score or Smog rating as defined by the Environmental Protection Agency(EPA).
Applied numerous algorithm models to solve a binary classification problem of predicting if any given prospective customer converts to a sale, through the company’s online sales channel.
Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the potential borrower against the criteria set forth for lending.Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the potential borrower against the criteria set forth for lending.
A model build on RAVDESS dataset, for speech emotion recognition. 85.59% validation accuracy
Modeling Portfolio (Python based)
The project provides information about breast cancer to help doctors predict if a person has it.
The project provides the credit card approval predictor using different machine learning algorithm , just like the real banks do.
Applied various algorithm models to solve a binary classification problem of predicting if a patient will suffer from a disease. Project done for Machine Learning course of Data Science Ms
Hate Speech Classification using ML Models
This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.
This Github repository contains cross selling of health insurance customers on vehicle insurance product. We have to predict whether a customer would be interested in Vehicle Insurance or not by building a ML model. Exploring Insights/Inferences by performing EDA on the given project data. Finding the high accuracy
A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an
Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.
In simple, a Loan (borrowing money from a bank) is the sum of money that you borrow from the bank or lending financial institution in order to meet needs. These needs could result from planned or unplanned events, and by borrowing, you incur a debt that you have to pay within the agreed duration on your contract.
How to do a simple end-to-end machine learning classification project using the telco churn dataset
A report of the study of Botnet Detction using Machine Learning models, this report provides an in-depth exploration of botnets, their characteristics, and the existing research in the field of botnet detection.
Ensemble Learning with Pima_Indian dataset
It contains different types of machine learning models like Linear Regression, Logistic Regression, Clustering techniques, Time Series Forecasting etc
My first machine learning project.