Pinned Repositories
amazon_sagemaker_sentiment_analysis_webapp
attention-RNN-_pytorch
autoencoder_pytorch
boston_housing
Supervised Learning - Learning curves, Model complexeity, Decision tree regression, GridSearchCV, optimal model
customer_segments
Unsupervised Learning - Analyze feature relevance, feature distribution, scatter matrix, heatmap, feature scaling, detect and remove outliers, PCA, dimensionality reduction, Gaussian Mixture Model clustering, data recovery by inverse transformations
dog_breed_recognition_deep_learning
finding_donors
Supervised Learning - log transformation of skewed features, minmax scaler, one-hot encoding, Adaboost classifier, KNN, Support Vector classifier, choose optimal model, model tuning with grid search, feature importance, feature selection
mldoodles_wine_quality_prediction
skin_cancer_classification_deep_learning
Deep Learning - CNN architecture
udacity_capstone_project_emergency_911_calls
brindhasivash's Repositories
brindhasivash/boston_housing
Supervised Learning - Learning curves, Model complexeity, Decision tree regression, GridSearchCV, optimal model
brindhasivash/customer_segments
Unsupervised Learning - Analyze feature relevance, feature distribution, scatter matrix, heatmap, feature scaling, detect and remove outliers, PCA, dimensionality reduction, Gaussian Mixture Model clustering, data recovery by inverse transformations
brindhasivash/dog_breed_recognition_deep_learning
brindhasivash/finding_donors
Supervised Learning - log transformation of skewed features, minmax scaler, one-hot encoding, Adaboost classifier, KNN, Support Vector classifier, choose optimal model, model tuning with grid search, feature importance, feature selection
brindhasivash/skin_cancer_classification_deep_learning
Deep Learning - CNN architecture
brindhasivash/udacity_capstone_project_emergency_911_calls
brindhasivash/bayes
brindhasivash/Bayes-NLP-mini-project
brindhasivash/convolutional-layer-visualization
brindhasivash/coursera_python_specialization
brindhasivash/create-your-own-adventure
brindhasivash/gradient-descent
brindhasivash/kmeans_miniproject_on_enron_dataset
brindhasivash/mnist-mlp-Parameter-Tuning
brindhasivash/my_first_cnn
brindhasivash/Neural-Nets---Build-and-Update-a-Perceptron
brindhasivash/recipes
brindhasivash/reflections
brindhasivash/RL_Blackjack_MonteCarloMethods
brindhasivash/RL_CliffWalking_TemporalDifferenceMethods
brindhasivash/RL_FrozenLake_DynamicProgramming
brindhasivash/RL_MountainCar_Discretization
brindhasivash/RL_Taxi-v2
brindhasivash/RL_Teach_A_Quadcopter_To_Fly
brindhasivash/RL_TileCoding
brindhasivash/sentiment_analysis_in_keras_IMDB
brindhasivash/SMS-Spam-Classifier
brindhasivash/testrepo
brindhasivash/Titanic-Survival-Exploration
Machine Learning Foundation - Analysing the dataset, Building different combinations of naive predictors and analyzing the accuracy score
brindhasivash/u-net-segmentation-example
An example Jupyter notebook for image segmentation using U-Net and Brine