PW Skills DataScience Course Assignment Solutions

This repository contains the assignment solutions solved during the course duration of Data Science Masters by Pw Skills

Introduction

This DataScience course is an advanced course starting covering all the crucial topics of datascience like Web Scrapping, Statistics, Visualizations, EDA, Machine Learning Algorithmns, Implementation of ML algorithmns in end to end Projects using pipelines, Deep Learning, Computer Vision and NLP.

The course is also currently going on so it will be updated regularly whenever an assignment is given .

Structure

The Assignments are names in the format : Project_WeekNo_AssignmentNumberofthatWeek_ConceptUsedintheAssignment.ipynb.

In the solutions while solving the assignments I have also gone a bit deep by exploring the web and learning new things which are also a part in some assignments. Also, I have made notes for all the topics and a detailed repository will be made soon in a much more structured format including some pratice codes, notes, assignment questions and solutions.

All the assignments are completed using Jupyter notebook in a way I understood the concepts feel free to go through them as they cover almost the most vital topics involved during the interviews.

Performance

There is also a scoreboard in the course to encourage people to complete assignments correctly and on timely basis and currently I am proudly at the top of the leaderboard ❗❗

Course Completetion Certificate

Contribution

I will not be accepting any contibutions for this repository as it contains my personal solutions . However, if you have any suggestions or improvements related to the code or solution, you can open an issue in the repository, and I will review it.

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PW Skills DataScience Course Assignment Solutions

Introduction

Structure

Performance

Course Completetion Certificate

Contribution

About

Releases

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Languages

Name		Name	Last commit message	Last commit date
Latest commit History 128 Commits
LICENSE		LICENSE
Project_1.ipynb		Project_1.ipynb
Project_10_1_StatisticsBasicAssignment-1.ipynb		Project_10_1_StatisticsBasicAssignment-1.ipynb
Project_10_2_StatisticsBasicAssignment-2.ipynb		Project_10_2_StatisticsBasicAssignment-2.ipynb
Project_11_1_Statistics Advance-1.ipynb		Project_11_1_Statistics Advance-1.ipynb
Project_11_2_Statistics Advance-2.ipynb		Project_11_2_Statistics Advance-2.ipynb
Project_11_3_Statistics Advance-3.ipynb		Project_11_3_Statistics Advance-3.ipynb
Project_12_1_Statistics Advance-4.ipynb		Project_12_1_Statistics Advance-4.ipynb
Project_12_2_Statistics Advance-5.ipynb		Project_12_2_Statistics Advance-5.ipynb
Project_12_3_Statistics Advance-6.ipynb		Project_12_3_Statistics Advance-6.ipynb
Project_12_4_Statistics Advance-7.ipynb		Project_12_4_Statistics Advance-7.ipynb
Project_13_1_Machine Learning Assignment-1.ipynb		Project_13_1_Machine Learning Assignment-1.ipynb
Project_13_2_Machine Learning Assignment-2.ipynb		Project_13_2_Machine Learning Assignment-2.ipynb
Project_13_3_Feature Engineering Assignment - 1.ipynb		Project_13_3_Feature Engineering Assignment - 1.ipynb
Project_13_4_Feature Engineering Assignment - 2.ipynb		Project_13_4_Feature Engineering Assignment - 2.ipynb
Project_13_5_Feature Engineering Assignment - 3.ipynb		Project_13_5_Feature Engineering Assignment - 3.ipynb
Project_13_6_Feature Engineering Assignment - 4.ipynb		Project_13_6_Feature Engineering Assignment - 4.ipynb
Project_13_7_Feature Engineering Assignment - 5.ipynb		Project_13_7_Feature Engineering Assignment - 5.ipynb
Project_13_8_Feature Engineering Assignment-6.ipynb		Project_13_8_Feature Engineering Assignment-6.ipynb
Project_14_1_EDA Assignment-1.ipynb		Project_14_1_EDA Assignment-1.ipynb
Project_14_2_EDA Assignment-2.ipynb		Project_14_2_EDA Assignment-2.ipynb
Project_15_1_Linear Regression -1.ipynb		Project_15_1_Linear Regression -1.ipynb
Project_15_2_Linear Regression -2.ipynb		Project_15_2_Linear Regression -2.ipynb
Project_15_3_Linear Regression -3.ipynb		Project_15_3_Linear Regression -3.ipynb
Project_15_4_Linear Regression -4.ipynb		Project_15_4_Linear Regression -4.ipynb
Project_15_5_Linear Regression -5.ipynb		Project_15_5_Linear Regression -5.ipynb
Project_15_6_Linear Regression -6.ipynb		Project_15_6_Linear Regression -6.ipynb
Project_15_7_Logistic Regression -1.ipynb		Project_15_7_Logistic Regression -1.ipynb
Project_15_8_Logistic Regression -2.ipynb		Project_15_8_Logistic Regression -2.ipynb
Project_15_9_Logistic Regression -3.ipynb		Project_15_9_Logistic Regression -3.ipynb
Project_16_1_Decision Tree -1.ipynb		Project_16_1_Decision Tree -1.ipynb
Project_16_2_Decision Tree -2.ipynb		Project_16_2_Decision Tree -2.ipynb
Project_16_3_SVM-1.ipynb		Project_16_3_SVM-1.ipynb
Project_16_4_SVM-2.ipynb		Project_16_4_SVM-2.ipynb
Project_16_5_SVM-3.ipynb		Project_16_5_SVM-3.ipynb
Project_17_1_Naive Bayes-1.ipynb		Project_17_1_Naive Bayes-1.ipynb
Project_17_2_Naive Bayes-2.ipynb		Project_17_2_Naive Bayes-2.ipynb
Project_17_3_Ensemble Techniques And Its Types-1.ipynb		Project_17_3_Ensemble Techniques And Its Types-1.ipynb
Project_17_4_Ensemble Techniques And Its Types-2.ipynb		Project_17_4_Ensemble Techniques And Its Types-2.ipynb
Project_17_5_Ensemble Techniques And Its Types-3.ipynb		Project_17_5_Ensemble Techniques And Its Types-3.ipynb
Project_17_6_Ensemble Techniques And Its Types-4.ipynb		Project_17_6_Ensemble Techniques And Its Types-4.ipynb
Project_17_7_Ensemble Techniques And Its Types-5.ipynb		Project_17_7_Ensemble Techniques And Its Types-5.ipynb
Project_17_8_Boosting-1.ipynb		Project_17_8_Boosting-1.ipynb
Project_17_9_Boosting-2.ipynb		Project_17_9_Boosting-2.ipynb
Project_18_1_KNN-1.ipynb		Project_18_1_KNN-1.ipynb
Project_18_2_KNN-2.ipynb		Project_18_2_KNN-2.ipynb
Project_18_3_KNN-3.ipynb		Project_18_3_KNN-3.ipynb
Project_18_4_Dimensionality Reduction-1.ipynb		Project_18_4_Dimensionality Reduction-1.ipynb
Project_18_5_Dimensionality Reduction-2.ipynb		Project_18_5_Dimensionality Reduction-2.ipynb
Project_18_6_Dimensionality Reduction-3.ipynb		Project_18_6_Dimensionality Reduction-3.ipynb
Project_18_7_Dimensionality Reduction-4.ipynb		Project_18_7_Dimensionality Reduction-4.ipynb
Project_19_1_Clustering-1.ipynb		Project_19_1_Clustering-1.ipynb
Project_19_2_Clustering-2.ipynb		Project_19_2_Clustering-2.ipynb
Project_19_3_Clustering-3.ipynb		Project_19_3_Clustering-3.ipynb
Project_19_4_Clustering-4.ipynb		Project_19_4_Clustering-4.ipynb
Project_19_5_Clustering-5.ipynb		Project_19_5_Clustering-5.ipynb
Project_2.ipynb		Project_2.ipynb
Project_20_1_Anomaly Detection-1.ipynb		Project_20_1_Anomaly Detection-1.ipynb
Project_20_2_Anomaly Detection-2.ipynb		Project_20_2_Anomaly Detection-2.ipynb
Project_20_3_Time Series-1.ipynb		Project_20_3_Time Series-1.ipynb
Project_20_4_Time Series-2.ipynb		Project_20_4_Time Series-2.ipynb
Project_21_10_Weight Initialization.ipynb		Project_21_10_Weight Initialization.ipynb
Project_21_2_Activation Function.ipynb		Project_21_2_Activation Function.ipynb
Project_21_3_Batch Normalization.ipynb		Project_21_3_Batch Normalization.ipynb
Project_21_4_Callback Function.ipynb		Project_21_4_Callback Function.ipynb
Project_21_5_Forward Backward Propagation.ipynb		Project_21_5_Forward Backward Propagation.ipynb
Project_21_6_Implementation of ANN in Keras.ipynb		Project_21_6_Implementation of ANN in Keras.ipynb
Project_21_7_Optimizers.ipynb		Project_21_7_Optimizers.ipynb
Project_21_8_Regularization.ipynb		Project_21_8_Regularization.ipynb
Project_21_9_TensorFlow Fundamentals.ipynb		Project_21_9_TensorFlow Fundamentals.ipynb
Project_22_1_CNN Architecture.ipynb		Project_22_1_CNN Architecture.ipynb
Project_22_2_Fundamentals_of_CNN.ipynb		Project_22_2_Fundamentals_of_CNN.ipynb
Project_23_1_RCNN_Architecture.ipynb		Project_23_1_RCNN_Architecture.ipynb
Project_23_2_YOLO.ipynb		Project_23_2_YOLO.ipynb
Project_3_1.ipynb		Project_3_1.ipynb
Project_3_2.ipynb		Project_3_2.ipynb
Project_4_1.ipynb		Project_4_1.ipynb
Project_4_2.ipynb		Project_4_2.ipynb
Project_5_1.ipynb		Project_5_1.ipynb
Project_5_2.ipynb		Project_5_2.ipynb
Project_5_3.ipynb		Project_5_3.ipynb
Project_5_4.ipynb		Project_5_4.ipynb
Project_6_1_mysqlassignment.ipynb		Project_6_1_mysqlassignment.ipynb
Project_6_2_mongodbassignment.ipynb		Project_6_2_mongodbassignment.ipynb
Project_6_3_apiassignment.ipynb		Project_6_3_apiassignment.ipynb
Project_6_4_flask-1.ipynb		Project_6_4_flask-1.ipynb
Project_6_5_flask-2.ipynb		Project_6_5_flask-2.ipynb
Project_7_1_webscrapingassignment.ipynb		Project_7_1_webscrapingassignment.ipynb
Project_7_2_Youtube_Scrapping_Assignment.ipynb		Project_7_2_Youtube_Scrapping_Assignment.ipynb
Project_8_1_numpy-basic.ipynb		Project_8_1_numpy-basic.ipynb
Project_8_2_matplotlib.ipynb		Project_8_2_matplotlib.ipynb
Project_8_3_seaborn.ipynb		Project_8_3_seaborn.ipynb
Project_8_4_plotly.ipynb		Project_8_4_plotly.ipynb
Project_8_5_bokah.ipynb		Project_8_5_bokah.ipynb
Project_9_1_PandasBasicAssignment.ipynb		Project_9_1_PandasBasicAssignment.ipynb
Project_9_2_PandasAdvance-1.ipynb		Project_9_2_PandasAdvance-1.ipynb
Project_9_3_PandasAdvance-2.ipynb		Project_9_3_PandasAdvance-2.ipynb
README.md		README.md

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PW Skills DataScience Course Assignment Solutions

Introduction

Structure

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Course Completetion Certificate

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