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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.
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
A collection of machine learning models for predicting laptop prices
Flight Price Prediction Model Deployment IN Heroku
Regression ML model to predict mobile price
Exploring MNIST Dataset using Tensorflow and Keras
Using data science techniques to discover whether building more homes has an impact on sales prices and the affordability of housing
The solution to the problem statement D3H06 provided by D3 tech fest Hackathon conducted by IIIt-Bh
Aim of this project is to predict taxi fare based on available data. This dataset contains total 8 variables and 50000 indexes.
Deploying Flight Price Prediction via Microsoft Azure
Regression & Classification Machine Learning Models predict the weather
The dataset contains students last three year exam results combined with other data such as their sex, family size, father and mother job and some of their personal and social life properties. The goal is to train ML models to predict student performance in their last year exams.
Determining the Sales of Audi Cars across whole Europe by comparing the specifications as well as the price of some bestselling Models.