Skip to content

ashBabu/Machine-Learning

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

38 Commits
Trading
Trading
 
 
dask-worker-space
dask-worker-space
 
 
data
data
 
 
intradayData
intradayData
 
 
novel-corona-virus-2019-dataset
novel-corona-virus-2019-dataset
 
 
pics
pics
 
 
.gitignore
.gitignore
 
 
18_reinforcement_learning.ipynb
18_reinforcement_learning.ipynb
 
 
BayesianRegression.ipynb
BayesianRegression.ipynb
 
 
ChurnData.csv
ChurnData.csv
 
 
Clus-DBSCN-weather.ipynb
Clus-DBSCN-weather.ipynb
 
 
Covid-19.ipynb
Covid-19.ipynb
 
 
Covid2019-2.ipynb
Covid2019-2.ipynb
 
 
Cust_Segmentation.csv
Cust_Segmentation.csv
 
 
Decision-Trees.ipynb
Decision-Trees.ipynb
 
 
FuelConsumption.csv
FuelConsumption.csv
 
 
Gaussian Kernal (RBF) Regression using Pytorch.ipynb
Gaussian Kernal (RBF) Regression using Pytorch.ipynb
 
 
Gaussian Process Regression.ipynb
Gaussian Process Regression.ipynb
 
 
GaussianProcess_.pdf
GaussianProcess_.pdf
 
 
Hierarchical-Clustering.ipynb
Hierarchical-Clustering.ipynb
 
 
Historic COVID-19 Dashboard Data.csv
Historic COVID-19 Dashboard Data.csv
 
 
HousingPrices_convolutons_pooling_callbacks.ipynb
HousingPrices_convolutons_pooling_callbacks.ipynb
 
 
K-Means-Customer-Seg.ipynb
K-Means-Customer-Seg.ipynb
 
 
K-Nearest-neighbors-Clustering.ipynb
K-Nearest-neighbors-Clustering.ipynb
 
 
Learning to predict digits (MNIST) with TF and keras.ipynb
Learning to predict digits (MNIST) with TF and keras.ipynb
 
 
Linear-Regression.ipynb
Linear-Regression.ipynb
 
 
Logistic-Regression.ipynb
Logistic-Regression.ipynb
 
 
NoneLinearRegression.ipynb
NoneLinearRegression.ipynb
 
 
Numpy&MatPlotLib.ipynb
Numpy&MatPlotLib.ipynb
 
 
Pandas.ipynb
Pandas.ipynb
 
 
Pytorch.ipynb
Pytorch.ipynb
 
 
README.md
README.md
 
 
RecSys-Collaborative-Filtering-movies.ipynb
RecSys-Collaborative-Filtering-movies.ipynb
 
 
RecSys-Content-Based-movies.ipynb
RecSys-Content-Based-movies.ipynb
 
 
Scikit-Learn.ipynb
Scikit-Learn.ipynb
 
 
SupportVectorMachines.ipynb
SupportVectorMachines.ipynb
 
 
Untitled.ipynb
Untitled.ipynb
 
 
Weather Forecasting Time Series Forcasting LSTM (RNN).ipynb
Weather Forecasting Time Series Forcasting LSTM (RNN).ipynb
 
 
Weather forecasting_Facebook Prophet.ipynb
Weather forecasting_Facebook Prophet.ipynb
 
 
_config.yml
_config.yml
 
 
cars_clus.csv
cars_clus.csv
 
 
cell_samples.csv
cell_samples.csv
 
 
china_gdp.csv
china_gdp.csv
 
 
drug200.csv
drug200.csv
 
 
drugtree.png
drugtree.png
 
 
moviedataset.zip
moviedataset.zip
 
 
moviedataset.zip.part
moviedataset.zip.part
 
 
scikit-learn_cheat_sheet.png
scikit-learn_cheat_sheet.png
 
 
teleCust1000t.csv
teleCust1000t.csv
 
 
tensorFlow.ipynb
tensorFlow.ipynb
 
 
tf_keras_for_Researchers_Crash_Course.ipynb
tf_keras_for_Researchers_Crash_Course.ipynb
 
 
train_and_evaluate_models_tensorflow.ipynb
train_and_evaluate_models_tensorflow.ipynb
 
 
two_layer_net_nn.ipynb
two_layer_net_nn.ipynb
 
 
weather-stations20140101-20141231.csv
weather-stations20140101-20141231.csv
 
 

Repository files navigation

Machine Learning

This page contains various tutorials for various regression methods and python libraries The page is continuosly updated as and when I learn new things. Most of the materials in this are collated under one umbrella by me from various online sources like IBM and various others. Anybody is welcome to use

About

No description, website, or topics provided.

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

 
 
 

Contributors

Languages