Pinned Repositories
ad_click_xg_boost_model_predictor
AD CLICK PREDICTION USING LOGISTIC REGRESSION AND XG-BOOST
Bank_Costumer_Segmentation
The aim of this project is to discover credit card bank costumers using unsupervised machine learning methods such as clustering and PCA.The insights that these type of Analysis provide are useful for future target marketing appealing directlly to the behaviour and habits of these costumers to offer them better financial products.
California_Housing_Prices
Example of nd-to-end Machine Learning Problem: Frame problem, select features , select metrics, analyze data, feature engineering ,clean data, prepare data, pipelines transformations, build mode, hyperparamter tuning , test_model, save model, confidence interval for error estimation, deployment
Covid19ImageClassifierModel
A PyTorch Resnet18 model built to predict Pneuomonia and Covid19
Fashion_Image_Classification_using_PyTorch
The objective of this project is to train a CNN Built in Pytorch to recognize and classify various fashion items present in the FashionMNIST dataset. These items include clothing and accessory categories like shirts, shoes, pants, etc.
github-readme-stats
:zap: Dynamically generated stats for your github readmes
Melanona_CNN
The following model aims to create an image classifier to detect benign and malign skin melanoma using Convulotional Neural Networks.
NASA-Global-Temperature-Anamolies-Analysis
The following analysis aims to provide valuable insights aboot how Global Temperature Anomalies are increasing over time.
NewPortfolio
psykoss
psykoss's Repositories
psykoss/ad_click_xg_boost_model_predictor
AD CLICK PREDICTION USING LOGISTIC REGRESSION AND XG-BOOST
psykoss/Bank_Costumer_Segmentation
The aim of this project is to discover credit card bank costumers using unsupervised machine learning methods such as clustering and PCA.The insights that these type of Analysis provide are useful for future target marketing appealing directlly to the behaviour and habits of these costumers to offer them better financial products.
psykoss/California_Housing_Prices
Example of nd-to-end Machine Learning Problem: Frame problem, select features , select metrics, analyze data, feature engineering ,clean data, prepare data, pipelines transformations, build mode, hyperparamter tuning , test_model, save model, confidence interval for error estimation, deployment
psykoss/Covid19ImageClassifierModel
A PyTorch Resnet18 model built to predict Pneuomonia and Covid19
psykoss/Fashion_Image_Classification_using_PyTorch
The objective of this project is to train a CNN Built in Pytorch to recognize and classify various fashion items present in the FashionMNIST dataset. These items include clothing and accessory categories like shirts, shoes, pants, etc.
psykoss/github-readme-stats
:zap: Dynamically generated stats for your github readmes
psykoss/Melanona_CNN
The following model aims to create an image classifier to detect benign and malign skin melanoma using Convulotional Neural Networks.
psykoss/NASA-Global-Temperature-Anamolies-Analysis
The following analysis aims to provide valuable insights aboot how Global Temperature Anomalies are increasing over time.
psykoss/NewPortfolio
psykoss/psykoss
psykoss/Supply_Chain_Optimization
The aim of this project is to solve the main problems in supply chain management such as risk management, demand forecasting etc.
psykoss/Traffic_Sign_CNN_Image_Classifier
Traffic Sign CNN Image Classifier using tensorflow