Data Science - PCA (Principal Component Analysis)

The goal of this machine learning project is to predict the selling price of a new home by applying basic machine learning (regression)concepts to the housing prices data.

Using machine learning and neural networks, utilizing the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.

Unsupervised-ML---K-Means-Clustering-Non-Hierarchical-Clustering-Univ. Use Elbow Graph to find optimum number of clusters (K value) from K values range. The K-means algorithm aims to choose centroids that minimise the inertia, or within-cluster sum-of-squares criterion WCSS. Plot K values range vs WCSS to get Elbow graph for choosing K (no. of c…

Eric-Simon-Neural-Network-Challenge

GridSearchCV For Model optimization

Non-profit foundation funding predictor using deep learning and neural networks.

Project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and faces lower risk by tempering potential losses when the market is down.

Feature_Scaling_Normalization_MinMaxScaling_MaxAbsScaling_RobustScaling

predicting breast cancer using machine learning models

Our goal is to look through this dataset and classify songs

Collection of Regression models with maximum accuracy [.98] to predict Dimond price

Rusty Bargain is a used car buying and selling company that is developing an app to attract new buyers. My job as data science is to create a model that can determine the market value of a car.

clustering with crypto!

Prepare a classification model using Naive Bayes for salary data

NBA Games stats simulator & predictor : Predict tomorrow games results and consult past games statistics

Clustered cryptocurrencies with K-means algorithm

Using supervised machine learning models to determine credit worthiness

ML model to predict whether the person has Parkinson's Disease.