GitHub - sohomghosh/Python_Machine-Learning_Codes: It contains various ways to deal with data using Pandas and PySpark dataframes. It further includes implementation of several ML Algorithms using Python.

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Name		Name	Last commit message	Last commit date
Latest commit History 546 Commits
av_ctr_sep17		av_ctr_sep17
bits_datamining_assignments		bits_datamining_assignments
chatbot		chatbot
empty_package		empty_package
my_cython_try		my_cython_try
sci kit learn		sci kit learn
scikitLearn		scikitLearn
sna		sna
00_pandas_all_in_one.py		00_pandas_all_in_one.py
01_pyspark_codes.py		01_pyspark_codes.py
02_EDA_MisingValue_Treatment_VariableImportance_Testing_Feature_Engg_code_pandasprofiling.py		02_EDA_MisingValue_Treatment_VariableImportance_Testing_Feature_Engg_code_pandasprofiling.py
03_data_visualization_a_python_plots.txt		03_data_visualization_a_python_plots.txt
03_data_visualization_code_av_mc_sales_jan18.pdf		03_data_visualization_code_av_mc_sales_jan18.pdf
03_data_visualization_code_av_mc_sales_jan18.py		03_data_visualization_code_av_mc_sales_jan18.py
04_partial_plots.py		04_partial_plots.py
05_dashboards_data-visualization.txt		05_dashboards_data-visualization.txt
06_text_classification_av_codes.py		06_text_classification_av_codes.py
07_keras_tensorflow_deep_learning.py		07_keras_tensorflow_deep_learning.py
Active_Learning_SVM_NLP.py		Active_Learning_SVM_NLP.py
Adversarial_Validation.txt		Adversarial_Validation.txt
ClassificationError.py		ClassificationError.py
ClassificationTree.py		ClassificationTree.py
ConfusionMatrix.py		ConfusionMatrix.py
DimensionalityReductionCrossValidation.py		DimensionalityReductionCrossValidation.py
Error_GLIBCXX_3.4.21_not_found.txt		Error_GLIBCXX_3.4.21_not_found.txt
GraphVizPython.py		GraphVizPython.py
HackerEarth_ML2_MachineLEarningModel_pyspark.py		HackerEarth_ML2_MachineLEarningModel_pyspark.py
KNN.py		KNN.py
KNN.txt		KNN.txt
KfoldCrossValidation.txt		KfoldCrossValidation.txt
Kolmogorov_Smirnov_Test.py		Kolmogorov_Smirnov_Test.py
LDA_topic-modeling_gensim.py		LDA_topic-modeling_gensim.py
LinearRegression.txt		LinearRegression.txt
LogisticRegression.txt		LogisticRegression.txt
MatPlotlibDATA_VISUALIZE.py		MatPlotlibDATA_VISUALIZE.py
MyCodesPythonMachineLearning.txt		MyCodesPythonMachineLearning.txt
Numpy.txt		Numpy.txt
PCA_PrincipalComponentAnalysis.py		PCA_PrincipalComponentAnalysis.py
PCA_SVM_Plot.py		PCA_SVM_Plot.py
Python_nltk_stopwords.txt		Python_nltk_stopwords.txt
Pythonpandas.txt		Pythonpandas.txt
README.md		README.md
RMSE_calculation.py		RMSE_calculation.py
RandomForest.py		RandomForest.py
Reading_with_bad_lines_pandas.py		Reading_with_bad_lines_pandas.py
RegularExpressions.txt		RegularExpressions.txt
Seaborn.py		Seaborn.py
Stacking_python_codes.txt		Stacking_python_codes.txt
StandardScaler.py		StandardScaler.py
TSNE_plot.py		TSNE_plot.py
WordCloud_word_cloud.py		WordCloud_word_cloud.py
adding_new_environment_to_jupyter_notebook.sh		adding_new_environment_to_jupyter_notebook.sh
after_join_no_output.py		after_join_no_output.py
all_possible_combinations.py		all_possible_combinations.py
argument_passing_code.py		argument_passing_code.py
argument_passing_commandline.py		argument_passing_commandline.py
auc_au_roc_thresholds_tpr_fpr.py		auc_au_roc_thresholds_tpr_fpr.py
auto_encoder.py		auto_encoder.py
auto_encoder_for_reducing_dimensions_of_features.py		auto_encoder_for_reducing_dimensions_of_features.py
basic_python_code.py		basic_python_code.py
bidirectional_lstm.py		bidirectional_lstm.py
catbost_classifier.py		catbost_classifier.py
check_if_it_is_a_folder.py		check_if_it_is_a_folder.py
check_if_words_are_in_english_dictionary.py		check_if_words_are_in_english_dictionary.py
cnn_convoluted_neural_network_code_keras.py		cnn_convoluted_neural_network_code_keras.py
cnn_with_bidirectional_lstm.py		cnn_with_bidirectional_lstm.py
codeForNeuralNetwork.txt		codeForNeuralNetwork.txt
code_av_mc_sales_jan18.py.html		code_av_mc_sales_jan18.py.html
code_av_mc_sales_jan18.py.ipynb		code_av_mc_sales_jan18.py.ipynb
column_rearrange_pandas.py		column_rearrange_pandas.py
combine_two_pandas_dataframe_sidebyside.py		combine_two_pandas_dataframe_sidebyside.py
create_directory_change_permissions.py		create_directory_change_permissions.py
create_new_session_for_each_browser.py		create_new_session_for_each_browser.py
dataVisualizeUsingSeaborn.txt		dataVisualizeUsingSeaborn.txt
data_visualization_python.py		data_visualization_python.py
dbscan.py		dbscan.py
dealing_with_graphs_trees.py		dealing_with_graphs_trees.py
decision_tree.py		decision_tree.py
deploying_productionizing_machine_learning_with_python.txt		deploying_productionizing_machine_learning_with_python.txt
difflib_implementation.py		difflib_implementation.py
download_nltk_corpus_from_command_line.py		download_nltk_corpus_from_command_line.py
drop_duplicates_pandas.py		drop_duplicates_pandas.py
dump_load_model_by_pickle.py		dump_load_model_by_pickle.py
email_validation.py		email_validation.py
ensemble.txt		ensemble.txt
execute_bash_shell_commands_in_python_store_output.txt		execute_bash_shell_commands_in_python_store_output.txt
exploring_dask.py		exploring_dask.py
faker_generate_fake_data.py		faker_generate_fake_data.py
find_argements_of_a_function.py		find_argements_of_a_function.py
flask_all.py		flask_all.py
flask_webapi_creation.py		flask_webapi_creation.py
flat_map_python.py		flat_map_python.py
free memory in python.py		free memory in python.py
frequency_encode.py		frequency_encode.py
frequency_encoding.py		frequency_encoding.py
frequency_of_distinct_elements_in_a_list.py		frequency_of_distinct_elements_in_a_list.py
frequent_sets_marketbasket.py		frequent_sets_marketbasket.py
functional_programming_using_python.py		functional_programming_using_python.py
fuzzy_cmeans.py		fuzzy_cmeans.py
fuzzywuzzy_link.txt		fuzzywuzzy_link.txt

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Maintaining a repository of python codes I use daily for machine learning.

sohomghosh/Python_Machine-Learning_Codes

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