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.ipynb_checkpoints
.ipynb_checkpoints
 
 
ai-hackathon
ai-hackathon
 
 
aws
aws
 
 
classification
classification
 
 
gic_prac
gic_prac
 
 
hugging-face
hugging-face
 
 
instacart
instacart
 
 
linear_regression_workspace
linear_regression_workspace
 
 
neptune.ai/sandbox
neptune.ai/sandbox
 
 
nlp
nlp
 
 
nueral_net
nueral_net
 
 
screenshots
screenshots
 
 
tf
tf
 
 
torch
torch
 
 
.gitignore
.gitignore
 
 
All_About__ACTIVATION_functions.ipynb
All_About__ACTIVATION_functions.ipynb
 
 
All_About__Embeddings.ipynb
All_About__Embeddings.ipynb
 
 
All_About__NLP.ipynb
All_About__NLP.ipynb
 
 
BostonHousing.ipynb
BostonHousing.ipynb
 
 
Iris_data_set.py
Iris_data_set.py
 
 
Jupyter_test.ipynb
Jupyter_test.ipynb
 
 
LICENSE
LICENSE
 
 
Parse BBC.ipynb
Parse BBC.ipynb
 
 
Perceptrons_Basic_Understanding.ipynb
Perceptrons_Basic_Understanding.ipynb
 
 
PyTorchStuff.ipynb
PyTorchStuff.ipynb
 
 
PyTorch_Basics.ipynb
PyTorch_Basics.ipynb
 
 
README.md
README.md
 
 
Titanic.ipynb
Titanic.ipynb
 
 
Topic_Modelling_LDA.ipynb
Topic_Modelling_LDA.ipynb
 
 
Topic_Modelling_LDA_using_ScikitLearn+Spacy.ipynb
Topic_Modelling_LDA_using_ScikitLearn+Spacy.ipynb
 
 
WordEmbeddings.ipynb
WordEmbeddings.ipynb
 
 
airfoil_uci_regression.py
airfoil_uci_regression.py
 
 
breast_cancer_wisconsin.py
breast_cancer_wisconsin.py
 
 
cnn-kernel-filter-check.ipynb
cnn-kernel-filter-check.ipynb
 
 
decisiontree_google.py
decisiontree_google.py
 
 
fruits_with_colors_KNNlearn.py
fruits_with_colors_KNNlearn.py
 
 
hotstar_hack.py
hotstar_hack.py
 
 
pyproject.toml
pyproject.toml
 
 
sklearn_helloworld.py
sklearn_helloworld.py
 
 
sklearn_plottingcrossvalidationPrediction.py
sklearn_plottingcrossvalidationPrediction.py
 
 
titanic_kaggle.py
titanic_kaggle.py
 
 
uv.lock
uv.lock
 
 

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MLPy

Repo for practise ML using Py

Author: Rishu Shrivastava ([email protected])

Practise of ML classifications using Py

Using Python: Scikit-learn; Numpy; Matplotlib

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Repo for practise ML using Py

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