Data-Science-Regular-Bootcamp
Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.
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Download Latest Version (.zip)- Book - Cross Validation.ipynb
- Customer-Churn-Prediction.csv
- D-Tale-analysis.ipynb
- data cleaning process.txt
- Readme.md
- Computational_Advertising.ipynb
- D-Tale.ipynb
- dectree1.jpeg
- Dimensionality_Reduction.ipynb
- Frequent_Itemsets.ipynb
- google-playstore-data-visualization-eda.ipynb
- Locality_Sensitive_Hashing_and_Distance_Measures.ipynb
- Machine_Learning_and_Map_Reduce.ipynb
- Mall Customer Segmentation & Analysis.ipynb
- PageRank_and_Advanced_Link_Analysis.ipynb
- Stream_Algorithms.ipynb
- AI for Data Science_ Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond ( PDFDrive ).pdf
- Beginning Programming with Python for Dummies ( PDFDrive ).pdf
- Data Structures and Algorithms in Python ( PDFDrive ).pdf
- Deep Learning in Python_ Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow ( PDFDrive ).pdf
- Introduction to Machine Learning with Python ( PDFDrive ).pdf
- Python All-In-One for Dummies ( PDFDrive ).pdf
- Python Cookbook, 3rd Edition_ Recipes for Mastering Python 3 ( PDFDrive ).pdf
- Python Crash Course_ A Hands-On, Project-Based Introduction to Programming ( PDFDrive ).pdf
- Python Data Analytics_ Data Analysis and Science Using Pandas, matplotlib, and the Python Programming Language ( PDFDrive ).pdf
- Python Data Science Handbook ( PDFDrive ).pdf
- Python-Machine-Learning-Sebastian-Raschka-www.indianpdf.com_-Download-Book-Novel-PDF.pdf
- The Python Book_ The ultimate guide to coding with Python ( PDFDrive ) (1).pdf
- The Python Book_ The ultimate guide to coding with Python ( PDFDrive ).pdf
- Awesome Python Cheat Sheets by Finxter.pdf
- beginners_python_cheat_sheet_pcc_all.pdf
- Cheat sheet collection .pdf
- Data Science Cheatsheet .pdf
- Data Science Cheatsheet.pdf
- Deep Learning Cheat Sheet.pdf
- Excel Cheatsheet Follow Dr. AngShu (@drangshu) for more.pdf
- Keras_Cheat_Sheet_Python.pdf
- Numpy Cheat Sheet.pdf
- Probability Cheatsheet Follow Dr. AngShu (@drangshu) .pdf
- Python 3 Cheatsheet.pdf
- Python Cheat Sheet.pdf
- Python Cheatsheet.pdf
- data-science-job-market-in-us.ipynb
- dataset.txt
- Mall Customer Segmentation & Analysis.ipynb
- Mall Customer Segmentation & Analysis.py
- README.md
- Restaurant.ipynb
- Restaurant_Reviews.tsv
- Airpassengers bokeh.ipynb
- Dataset.txt
- Aitomibile Dataset.txt
- Autimobile Project.ipynb
- MatplotLib.ipynb
- requirement.txt
- plotly-express-tests.ipynb
- Pokemon.csv
- Visualization using plotly.ipynb
- Seaborn.ipynb
- DB-JSON.ipynb
- elk.py
- 3.1_mysql_introduction.sql
- 3.3_tables_exercises.sql
- 3.4_bonus_exercises.sql
- 3.4_select_exercises.sql
- 3.5.1_where_exercises.sql
- 3.5.2_order_by_exercises.sql
- 3.5.3_limit_exercises.sql
- 3.6_functions_exercises.sql
- 3.7_group_by_exercises.sql
- 3.8.0_indexes_exercises.sql
- 3.8.1_joins_data_set.sql
- 3.8.2_join_exercises.sql
- 3.8.3_bonus_exercises.sql
- 3.8.3_subqueries_exercises.sql
- 3.9_temporary_tables.sql
- FeedStats.ipynb
- Extract_data_from_MongoDB_using_Python.ipynb
- img.jpg
- img2.PNG
- img3.PNG
- img4.PNG
- Pymongo.ipynb
- README.md
- connect.py
- create_db.py
- create_table.py
- curds_app.py
- delete.py
- insert_many.py
- insert_one.py
- Python-MySql DB.ipynb
- Python-MySql DB.py
- select.py
- select_one.py
- update.py
- credit card.csv
- Restaurant_Reviews.tsv
- weight-height.csv
- confirmed_clean_df.csv
- deaths_clean_df.csv
- recovered_clean_df.csv
- time_series_covid19_confirmed_global.csv
- time_series_covid19_deaths_global.csv
- time_series_covid19_recovered_global.csv
- high_recoveries.png
- most_confirmed.png
- most_death.png
- total_recovered.png
- index.html
- time_series_covid19_confirmed_global.csv
- time_series_covid19_deaths_global.csv
- time_series_covid19_recovered_global.csv
- Extract.ipynb
- confirmed_clean_df.csv
- deaths_clean_df.csv
- recovered_clean_df.csv
- index.html
- time_series_covid19_confirmed_global.csv
- time_series_covid19_deaths_global.csv
- time_series_covid19_recovered_global.csv
- Transform.ipynb
- confirmed_clean_df.csv
- deaths_clean_df.csv
- recovered_clean_df.csv
- index.html
- time_series_covid19_confirmed_global.csv
- time_series_covid19_deaths_global.csv
- time_series_covid19_recovered_global.csv
- Load-currupt-file.ipynb
- Load_new.ipynb
- ERD.png
- schema.sql
- data-science-job-market-in-us.ipynb
- dataset.txt
- eda of iris dataset.ipynb
- iris dataset.txt
- README.md
- Restaurant.ipynb
- Restaurant_Reviews.tsv
- eda-and-graphing.ipynb
- data.txt
- Titanic eda.ipynb
- Count Vectorizer.ipynb
- All About Feature Engineering.ipynb
- Book - Technique To Represent Word as Vector.ipynb
- test.csv
- Feature Importance.ipynb
- Feature Scaling.ipynb
- Feature Selection Technique.ipynb
- Principal Component Analysis-2.ipynb
- Principle Component Analysis.ipynb
- TF-IDF Vectorizer.ipynb
- 164_ds_intv_ques.pdf
- Machine Learning - Springboard.pdf
- ML_intv_cheatsheet.pdf
- SQL Interview - 2.pdf
- SQL Interview.pdf
- MatplotLib.ipynb
- MatplotLib.pdf
- MatplotLib.py
- requirement.txt
- Clustering Algorithm.ipynb
- Clustering Algorithm.py
- Decision Tree Classification .py
- Decision Tree Classification.ipynb
- shopdata.csv
- Classified Data
- K-Nearest Neighbors.ipynb
- K-Nearest Neighbors.py
- Updated - K-Nearest Neighbors.ipynb
- hiring.csv
- Linear Regression .py
- Linear Regression.ipynb
- Logistic Regression.ipynb
- Logistic Regression.py
- marital status.csv
- carprices.csv
- Multiple Linear Regression.ipynb
- Multiple Linear Regression.py
- Book - Naive Baye's Algorithm.ipynb
- Dataset.txt
- Naive Bayes Classifiers.ipynb
- Naive Bayes Classifiers.py
- HeightWeightDataset.csv
- Polynomial Regression.ipynb
- Polynomial Regression.py
- Principal Component Analysis.ipynb
- credit card taiwan svm algorithm.csv
- Support Vector Machine Algo.ipynb
- Support Vector Machine Algo.py
- Numpy Learn.ipynb
- NumPY Practice .ipynb
- NumPY Practice.pdf
- NumPY Practice.py
- Pandas Tutorial.ipynb
- Pandas Tutorial.pdf
- Pandas.py
- requirement.txt
- SampleData.xlsx
- plotly-express-tests.ipynb
- Pokemon.csv
- Visualization using plotly.ipynb
- Visualization using plotly.py
- Ex_01_setup.ipynb
- Ex_02_Narrow_Transformation.ipynb
- Ex_03_Wide.ipynb
- Ex_04_Spark_SQL_DataFrame.ipynb
- Ex_05_PySpark_Linear_Regression.ipynb
- Data Science For Security Analysis.ipynb
- SciPy Practice .ipynb
- SciPy.ipynb
- SciPy.pdf
- SciPy.py
- Seaborn.ipynb
- Seaborn.pdf
- Seaborn.py
- demonetization-tweets.csv
- timeseries-analysis.ipynb
- Scraping Data from Websites.ipynb
- Scraping Data from Websites.pdf
- Scraping Data from Websites.py
- Ex_03_Wide.ipynb
- LICENSE
- README.md
// repository documentation
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