ML pages

This repository will contain the data which will be published.

Data for ML pages

file	link
07Satyam_ML_EDA.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/07Satyam_ML_EDA.md
07Satyam_ML_EDA.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/07Satyam_ML_EDA.ipynb
Abhinav_ML_DataVisualization.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Abhinav_ML_DataVisualization.md
Abhinav_ML_DataVisualization.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Abhinav_ML_DataVisualization.ipynb
Aman_ML _Algorithms _Flowchart.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Aman_ML%20_Algorithms%20_Flowchart.md
Aman_ML_Machine Learning Introduction.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Aman_ML_Machine%20Learning%20Introduction.md
Ankur_ML.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Ankur_ML.md
Ankur_ML_KNN.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Ankur_ML_KNN.md
Ankur_ML_KNN.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Ankur_ML_KNN.ipynb
Ankur_ML_LogisticRegression.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Ankur_ML_LogisticRegression.md
Ankur_ML_Logistic_regression.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Ankur_ML_Logistic_regression.ipynb
Anshul_ML_Bias&Variance.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Anshul_ML_Bias%26Variance.md
Anshul_ML_Bias&Variance.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Anshul_ML_Bias%26Variance.ipynb
Anshul_ML_Over&Underfit.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Anshul_ML_Over%26Underfit.md
Anshul_ML_Over&Underfit.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Anshul_ML_Over%26Underfit.ipynb
Anshul_ML_regression.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Anshul_ML_regression.md
Anshul_ML_regression.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Anshul_ML_regression.ipynb
Aryan_ML_Approach.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Aryan_ML_Approach.md
Aryan_ML_NaiveBayes.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Aryan_ML_NaiveBayes.md
Aryan_ML_Naive_Bayes.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Aryan_ML_Naive_Bayes.ipynb
Deeksha_ML_KNN.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Deeksha_ML_KNN.md
Deeksha_ML_KNN.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Deeksha_ML_KNN.ipynb
Drishti_ML_ClassificationProblemEvaluation.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Drishti_ML_ClassificationProblemEvaluation.md
Drishti_ML_ClassificationProblemEvaluation.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Drishti_ML_ClassificationProblemEvaluation.ipynb
Drishti_ML_RandomForest.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Drishti_ML_RandomForest.md
Drishti_ML_RandomForest.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Drishti_ML_RandomForest.ipynb
Inziya_Dossa_ML_Approaches.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Inziya_Dossa_ML_Approaches.md
KanchiTank_ML_Classification.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/KanchiTank_ML_Classification.md
KanchiTank_ML_Classification.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/KanchiTank_ML_Classification.ipynb
Kishan_ML_K-MeansClustering.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Kishan_ML_K-MeansClustering.md
Kishan_ML_K_MeansClustering.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Kishan_ML_K_MeansClustering.ipynb
Kishan_MachineLearning_DeepLearning.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Kishan_MachineLearning_DeepLearning.md
Pritam_ML_Xgboost.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Pritam_ML_Xgboost.md
Pritam_ML_Xgboost.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Pritam_ML_Xgboost.ipynb
Riddhima_ML_LogisticRegression.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Riddhima_ML_LogisticRegression.md
Riddhima_ML_LogisticRegression.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Riddhima_ML_LogisticRegression.ipynb
Saumya_ML_DataPreprocessing.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Saumya_ML_DataPreprocessing.md
Saumya_ML_DataPreprocessing.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Saumya_ML_DataPreprocessing.ipynb
SharathChandrika_ML_Evaluationmetric.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/SharathChandrika_ML_Evaluationmetric.md
SharathChandrika_ML_Evaluationmetric.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/SharathChandrika_ML_Evaluationmetric.ipynb
SharathChandrika_ML_clustering.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/SharathChandrika_ML_clustering.md
SharathChandrika_ML_clustering.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/SharathChandrika_ML_clustering.ipynb
Shivam_ML_Bias-Variance Tradeoff.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Shivam_ML_Bias-Variance%20Tradeoff.md
Shivam_RandomForestAlgo.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Shivam_RandomForestAlgo.md
Shivani_ML_unsupervised&clustering.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Shivani_ML_unsupervised%26clustering.md
Sravani_ML_EDA.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Sravani_ML_EDA.md
Sravani_ML_EDA.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Sravani_ML_EDA.ipynb
Sravani_ML_EDA (1).ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Sravani_ML_EDA%20(1).ipynb
Sravani_ML_KNN.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Sravani_ML_KNN.md
Sravani_ML_KNN.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Sravani_ML_KNN.ipynb
Tarun_EDA.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Tarun_EDA.md
Tarun_EDA.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Tarun_EDA.ipynb
Umesh_ML_FeatureScaling.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Umesh_ML_FeatureScaling.md
Umesh_ML_FeatureScaling.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Umesh_ML_FeatureScaling.ipynb
Umesh_ML_LinearRegression.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Umesh_ML_LinearRegression.md
Umesh_ML_LinearRegression.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Umesh_ML_LinearRegression.ipynb
Vaibhav_ML_XGboost.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Vaibhav_ML_XGboost.md
Vaibhav_ML_XGboost.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Vaibhav_ML_XGboost.ipynb
Yash_SL_Regression&Classification.md	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Yash_SL_Regression%26Classification.md
Yash_ML_SL.ipynb	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Yash_ML_SL.ipynb
Yash_ML_SL.ipynd	https://github.com/Learn-Write-Repeat/Open-contributions/blob/master/Yash_ML_SL.ipynd

Steps to proceed for each topic from above table

1. Create a folder with the topic name as given in the above table.
2. Put all the data from the open-contributions repository of this topic, in the created folder (all the images scripts or extra files which are being used in markdown or notebook)

ipynb and .md files for a topic will be in same folder of named on the topic.

3. Try understanding the content and run the program.
4. Change the data if required.