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A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting crop based on those parameters using machine learning. The system also predicts the yield of the crop.
Comprehensive collection of research papers, summaries, implementations, and resources related to computer vision, deep learning, and machine learning
Now its time to work on a Project based on a real life Business Problem. In this Project, we will be using all the skills that you have acquired throughout this course. Problem Statement Your client is a retail banking institution. Term deposits are a major source of income for a bank
Model to Predict the status of a genetic biomarker important for brain cancer treatment
This project uses supervised machine learning techniques with multiple regression models to predict CO2 emissions in Canada, it includes data cleaning, encoding, analyzing and visualization to identify patterns, resulting in a model that can make accurate predictions.
A repository containing some real world applications of machine learning.
Data-Science/Machine learning using R Programming
The project deals with determining and predicting the type of accident taking place in the city of Austin. The data would help in understanding what possible factors are leading to the accidents based on the severity of the incident that has occurred.
BASE ON GIVEN FEATURE AND MESUREMENT PREDICT WHETHER PATIENT WILL HAVE HEART DISEASE OR NOT.
To Create a predictive model to classify whether a person is running or walking based on the given predictor variables.
Python implementation of ML algorithms
Compilation of programming codes and projects made in different programming languages and technology domains.
Comparing four different Deep Learning and machine Learning Algorithms to build a Spam Detector to identify unsolicited and unwanted emails. Exploring the process of classifying emails as spam or not spam by converting text data(emails) into vectors and Evaluate their performance
A deep-learning model that can accurately predict hospital readmission rates for patients with specific medical conditions
Depot de notebook python d'algorithmes de machine Learning nécéssaires à l'analyse de sentiments
It is a Control System project using MATLAB that helps to overcome the limitations of a dishwasher .
This repository is associated with propensity score analysis utilizing machine learning algorithms to examine the impact of health insurance on duration of hospital stay in the NYC SPARCS 2015 In-patient discharges dataset.
Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.
Crime and Incarceration in the United States contain data on crimes that are committed, and the prisoner counts in every 50 states, for which the data is analyzed using various analytical methods.
This project showcases a vision-based helmet and travel lane detection system for cyclists. The technology can act as a monitor to see if the cyclist is using his or her designated lane and wearing a helmet.
Python implementations of Unsupervised Learning algorithms from scratch
Implemented algos using scikit-learn
I have compiled from scratch code for machine learning algorithms .These are not optimized but will serve good for the logical purpose
This Repository best describes my learnings, practices, and Experiments on Machine Learning / Data Science.
A very basic implementation of linear regression using python
Machine Learning algorithm used to distinguish between spam and ham texts.
Courses on Kaggle to get you started with Data science
a function to generate the hidden layers from the given fasta and the expression files. it takes the replicate columns and then calculates the expression and length as a hidden layer. Applying to the transcriptomics, meta transcriptomics and other expression datasets
a plant phenotyping machine learning with defacto implementation of three machine learning frameworks and allows for the scalable management of the plant pheotyping data and also for the selection of the traits and the machine learning classifiers. it will also allows for the cusotmization of the machine learning models.
In this project, I'm making a simple predictive model to predict the trend of COVID-19 daily cases in Indonesia in a certain period of time using a polynomial linear regression algorithm.
Finals project for Intuitas Data Science NEET Academy. Topic: exploratory data analysis of NBA trends and building a ML model to predict outcome of the NBA matches.
Most machine learning algorithms require data to be formatted in a very specific way, so datasets generally require preparation before they can yield useful insights. This repository is to document my study notes as I work through steps that I have personally found most challenging.
All my work related to Webapp to predict the profit powered by Machine Learning
All Machine Learning Algorithms implemented during ML Course has been added.
Singapore Condo Price Predictor App Repo