GitHub - Code-Trees/Towards-Data-science: A Repo to learn DS code by code using Python.

Contribuation To all the toy datasets available in market

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
AIML-RESIDENCY3-SUPERVISED_LEARNING_PROJECT2-BANKING.ipynb		AIML-RESIDENCY3-SUPERVISED_LEARNING_PROJECT2-BANKING.ipynb
AIML_Ensemble Techniques_R3_Project_Parkinson’s Disease.ipynb		AIML_Ensemble Techniques_R3_Project_Parkinson’s Disease.ipynb
Bank_Personal_Loan_Modelling.csv		Bank_Personal_Loan_Modelling.csv
Basics of Numpy.ipynb		Basics of Numpy.ipynb
Collaborative Filtering based Recommendation System_Questios.ipynb		Collaborative Filtering based Recommendation System_Questios.ipynb
CropSeedling.ipynb		CropSeedling.ipynb
Data structures in Python.ipynb		Data structures in Python.ipynb
DeepLearning_R7_INN_Project2.ipynb		DeepLearning_R7_INN_Project2.ipynb
Deep_Learning_R6_Project.ipynb		Deep_Learning_R6_Project.ipynb
Dummynotebook1.ipynb		Dummynotebook1.ipynb
Ensemble Techniques_R3_Project_Parkinson’s Disease.ipynb		Ensemble Techniques_R3_Project_Parkinson’s Disease.ipynb
Evaluation.py		Evaluation.py
FACE_DETECTION_Questions.ipynb		FACE_DETECTION_Questions.ipynb
FACE_RECOGNITION_Questions.ipynb		FACE_RECOGNITION_Questions.ipynb
Featurization Model selection and Tuning_R5_Project.ipynb		Featurization Model selection and Tuning_R5_Project.ipynb
Helper.py		Helper.py
InsuranceSales.csv		InsuranceSales.csv
InternalLab_Residency2_Hypothesis_Testing_and_KNN.ipynb		InternalLab_Residency2_Hypothesis_Testing_and_KNN.ipynb
Iris.csv		Iris.csv
Lab-siamese-nn-Recognize icebergs and ships-Questions.ipynb		Lab-siamese-nn-Recognize icebergs and ships-Questions.ipynb
Laliga Assignment 2.ipynb		Laliga Assignment 2.ipynb
Measures of Data.ipynb		Measures of Data.ipynb
Parkinsons.csv		Parkinsons.csv
R1-Lab-External.ipynb		R1-Lab-External.ipynb
R2_External_Lab_kNN.ipynb		R2_External_Lab_kNN.ipynb
R3-Internal Lab-Linear-Regression-Ensemble.ipynb		R3-Internal Lab-Linear-Regression-Ensemble.ipynb
R3_External_Lab_LR_Naive_Bayes_Ensemble.ipynb		R3_External_Lab_LR_Naive_Bayes_Ensemble.ipynb
R4_External_Lab_Validation_Accuracy.ipynb		R4_External_Lab_Validation_Accuracy.ipynb
R4_InternalLab.ipynb		R4_InternalLab.ipynb
R4_Internal_Lab_Clustering.ipynb		R4_Internal_Lab_Clustering.ipynb
R5_ExternalLab_CBPRS.ipynb		R5_ExternalLab_CBPRS.ipynb
R5_InternalLab_PBRS.ipynb		R5_InternalLab_PBRS.ipynb
R5_Internal_Lab_PCA.ipynb		R5_Internal_Lab_PCA.ipynb
R5_Internal_Lab_PCA_CBRS_PBRS.ipynb		R5_Internal_Lab_PCA_CBRS_PBRS.ipynb
R6_ExternalLab.ipynb		R6_ExternalLab.ipynb
R6_ExternalLab_AIML.ipynb		R6_ExternalLab_AIML.ipynb
R6_Internal_Lab_UpdatedTF2_Prices_Iris.ipynb		R6_Internal_Lab_UpdatedTF2_Prices_Iris.ipynb
R8_External_Lab_Questions_CIFAR10_Transfer_Learning_TFIDF_Text_Classification.ipynb		R8_External_Lab_Questions_CIFAR10_Transfer_Learning_TFIDF_Text_Classification.ipynb
R8_Internal_Lab_Questions_Tweet_Sentiment_Analysis.ipynb		R8_Internal_Lab_Questions_Tweet_Sentiment_Analysis.ipynb
R9_External_Lab_Questions.ipynb		R9_External_Lab_Questions.ipynb
R9_Internal_Lab_Questions (1).ipynb		R9_Internal_Lab_Questions (1).ipynb
R9_Internal_Lab_Questions.ipynb		R9_Internal_Lab_Questions.ipynb
README.md		README.md
Recommendation Systems_R5_Project.ipynb		Recommendation Systems_R5_Project.ipynb
Residency7_CNN_ExternalLab.ipynb		Residency7_CNN_ExternalLab.ipynb
SeqNLP_Project1_Questions.ipynb		SeqNLP_Project1_Questions.ipynb
Stance_Detection_for_the_Fake_News_Challenge_Questions.ipynb		Stance_Detection_for_the_Fake_News_Challenge_Questions.ipynb
Statistical Learning_R2_Project2_Titan Insurance case study.ipynb		Statistical Learning_R2_Project2_Titan Insurance case study.ipynb
StatisticalLearning_Project1.ipynb		StatisticalLearning_Project1.ipynb
Stats_NLP_Project_Questions.ipynb		Stats_NLP_Project_Questions.ipynb
Supervised Learning_Project2_Thera Bank case study.ipynb		Supervised Learning_Project2_Thera Bank case study.ipynb
SupervisedLearning_R2_Project1_breast-cancer-CaseStudy.ipynb		SupervisedLearning_R2_Project1_breast-cancer-CaseStudy.ipynb
Unsupervised Learning_R4_Project1_Car mpg.ipynb		Unsupervised Learning_R4_Project1_Car mpg.ipynb
Unsupervised Learning_R5_Project2.ipynb		Unsupervised Learning_R5_Project2.ipynb
Updated_R7_InternalLab_Questions .ipynb		Updated_R7_InternalLab_Questions .ipynb
bank.csv		bank.csv
basics of Pandas.ipynb		basics of Pandas.ipynb
bigcity.csv		bigcity.csv
breast-cancer-wisconsin-data.csv		breast-cancer-wisconsin-data.csv
cars-dataset.csv		cars-dataset.csv
german_credit.csv		german_credit.csv
glass_id_database.csv		glass_id_database.csv
insurance.csv		insurance.csv
iris_model.h5		iris_model.h5
jokes.csv		jokes.csv
kc_house_data.csv		kc_house_data.csv
nmt_ger-eng_questions.ipynb		nmt_ger-eng_questions.ipynb
pima-indians-diabetes.csv		pima-indians-diabetes.csv
siamese-nn-Recognize icebergs and ships_Solution.ipynb		siamese-nn-Recognize icebergs and ships_Solution.ipynb
users.csv		users.csv
vehicle.csv		vehicle.csv
wdbc2.ipynb		wdbc2.ipynb
wisc_bc_data.csv		wisc_bc_data.csv

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