requirements

Author: omkarxx

.ipynb_checkpoints/mp3_player-checkpoint.ipynb

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2020 Packt
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

LICENSE

@@ -1,3 +1,62 @@
-# Tkinter_python
-This repo has the basic tkinter library usage with a interesting project.
-I have made a MP3 player by using tkinter library.
+# Python Feature Engineering Cookbook
+
+<a href="https://www.packtpub.com/data/python-feature-engineering-cookbook?utm_source=github&utm_medium=repository&utm_campaign=9781789806311"><img src="https://www.packtpub.com/media/catalog/product/cache/e4d64343b1bc593f1c5348fe05efa4a6/9/7/9781789806311-original.jpeg" alt="Python Feature Engineering Cookbook" height="256px" align="right"></a>
+
+This is the code repository for [Python Feature Engineering Cookbook](https://www.packtpub.com/data/python-feature-engineering-cookbook?utm_source=github&utm_medium=repository&utm_campaign=9781789806311), published by Packt.
+
+**Over 70 recipes for creating, engineering, and transforming features to build machine learning models**
+
+## What is this book about?
+Feature engineering is invaluable for developing and enriching your machine learning models. In this book, you will work with the best Python tools to streamline your feature engineering pipelines, feature engineering techniques and simplify and improve the quality of your code.
+
+This book covers the following exciting features: 
+* Simplify your feature engineering pipelines with powerful Python packages
+* Get to grips with imputing missing values
+* Encode categorical variables with a wide set of techniques
+* Extract insights from text quickly and effortlessly
+* Develop features from transactional data and time series data
+* Derive new features by combining existing variables
+* Understand how to transform, discretize, and scale your variables
+* Create informative variables from date and time
+
+If you feel this book is for you, get your [copy](https://www.amazon.com/dp/1789806313) today!
+
+<a href="https://www.packtpub.com/?utm_source=github&utm_medium=banner&utm_campaign=GitHubBanner"><img src="https://raw.githubusercontent.com/PacktPublishing/GitHub/master/GitHub.png" alt="https://www.packtpub.com/" border="5" /></a>
+
+## Instructions and Navigations
+All of the code is organized into folders.
+
+The code will look like the following:
+```
+def get_first_cabin(row):
+ try:
+ return row.split()[0]
+ except:
+ return np.nan
+```
+
+**Following is what you need for this book:**
+This book is for machine learning professionals, AI engineers, data scientists, and NLP and reinforcement learning engineers who want to optimize and enrich their machine learning models with the best features. Knowledge of machine learning and Python coding will assist you with understanding the concepts covered in this book.
+
+With the following software and hardware list you can run all code files present in the book (Chapter 1-11).
+
+### Software and Hardware List
+
+| Chapter  | Software required                                                                    | OS required                        |
+| -------- | -------------------------------------------------------------------------------------| -----------------------------------|
+| 1 - 11   |   Python 3.5+, Anaconda Distibution, IDE(personal preference)                        | Windows, Mac OS X, and Linux (Any) |
+
+We also provide a PDF file that has color images of the screenshots/diagrams used in this book. [Click here to download it](https://static.packt-cdn.com/downloads/9781789806311_ColorImages.pdf).
+
+
+### Related products <Other books you may enjoy>
+* Python Machine Learning Cookbook - Second Edition [[Packt]](https://www.packtpub.com/big-data-and-business-intelligence/python-machine-learning-cookbook-second-edition-0?utm_source=github&utm_medium=repository&utm_campaign=9781789808452) [[Amazon]](https://www.amazon.com/Python-Machine-Learning-Cookbook-real-world/dp/1789808456)
+
+* Python Machine Learning By Example - Second Edition [[Packt]](https://www.packtpub.com/big-data-and-business-intelligence/python-machine-learning-example-second-edition?utm_source=github&utm_medium=repository&utm_campaign=9781789616729) [[Amazon]](https://www.amazon.com/Python-Machine-Learning-Example-intelligent/dp/1789616727)
+
+## Get to Know the Author
+**Soledad Galli**
+is a lead data scientist with more than 10 years of experience in world-class academic institutions and renowned businesses. She has researched, developed, and put into production machine learning models for insurance claims, credit risk assessment, and fraud prevention. Soledad received a Data Science Leaders' award in 2018 and was named one of LinkedIn's voices in data science and analytics in 2019. She is passionate about enabling people to step into and excel in data science, which is why she mentors data scientists and speaks at data science meetings regularly. She also teaches online courses on machine learning in a prestigious Massive Open Online Course platform, which have reached more than 10,000 students worldwide.
+
+### Suggestions and Feedback
+[Click here](https://docs.google.com/forms/d/e/1FAIpQLSdy7dATC6QmEL81FIUuymZ0Wy9vH1jHkvpY57OiMeKGqib_Ow/viewform) if you have any feedback or suggestions.

README.md

@@ -0,0 +1,22 @@
+ipykernel>=5.1.0
+ipython>=7.4.0
+matplotlib>=3.0.3
+nltk>=3.4
+numpy>=1.16.2
+pandas>=0.24.2
+pip>=19.0.3
+scikit-learn>=0.20.3
+scipy>=1.2.1
+statsmodels>=0.9.0
+seaborn>=0.9.0
+statsmodels=0.9.0
+jupyter>=1.0.0
+snowballstemmer>=1.2.1
+spyder>=3.3.3
+xlrd>=1.2.0
+xlsxwriter>=1.1.5
+autopep8==1.4.4
+yapf==0.27.0
+yellowbrick>=0.9.1
+feature-engine>=0.3.1
+featuretools>=0.11.0