文件列表:

CREDIT CARD FRAUD DETECTION TASK
DataScience.md
Iris Flower Classification Task
Movie Ticket Prediction
Sales Prediction
Stopwords in NLTK.py
Titanic Survival Predictions
Web Scraping Using HTML.py

# Aman Mehta - Data Science Resources Repository Welcome to the Data Science Resources repository! Whether you're just starting your journey in data science or looking to advance your skills in machine learning, statistics, and data analysis, this repository aims to provide you with a curated list of resources to help you succeed in the field of data science. ## Table of Contents 1. [Getting Started](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/#getting-started) 2. [Data Science Fundamentals](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/#data-science-fundamentals) 3. [Machine Learning](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/#machine-learning) 4. [Data Visualization](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/#data-visualization) 5. [Courses and Tutorials](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/#courses-and-tutorials) 6. [Books](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/#books) 7. [Community and Forums](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/#community-and-forums) ## Getting Started  If you're new to data science, start with these resources to understand the foundational concepts: - [Python for Data Science Handbook](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://jakevdp.github.io/PythonDataScienceHandbook/): A comprehensive guide to data science using Python, covering essential libraries like NumPy, Pandas, and Matplotlib. - [Kaggle](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://www.kaggle.com/): A platform for data science competitions, datasets, and tutorials. It's a great place to practice your skills and learn from others. ## Data Science Fundamentals Build a solid understanding of core data science concepts with these resources: - [Introduction to Statistical Learning](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://www.statlearning.com/): A textbook that provides an introduction to statistical learning methods, with applications in R and Python. - [DataCamp](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://www.datacamp.com/): An online platform offering interactive courses on data science, machine learning, and data analysis. ## Machine Learning Dive deeper into machine learning techniques and algorithms with these resources: - [Machine Learning Mastery](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://machinelearningmastery.com/): A website offering tutorials, books, and resources on machine learning topics, from beginner to advanced levels. - [Coursera - Machine Learning by Andrew Ng](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://www.coursera.org/learn/machine-learning): A popular online course that covers machine learning concepts and algorithms, taught by Stanford professor Andrew Ng. ## Data Visualization  Learn how to effectively visualize and communicate data with these resources: - [Storytelling with Data](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/http://www.storytellingwithdata.com/): A book that teaches principles of data visualization and how to create compelling data stories. - [Seaborn](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://seaborn.pydata.org/): A Python visualization library based on Matplotlib that provides a high-level interface for creating attractive statistical graphics. ## Courses and Tutorials Enhance your skills through online courses and tutorials: - [Udacity - Data Science Nanodegree](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://www.udacity.com/course/data-scientist-nanodegree--nd025): A comprehensive program covering data science topics such as data wrangling, machine learning, and data visualization. - [YouTube - StatQuest](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://www.youtube.com/user/joshstarmer): A YouTube channel with informative videos explaining statistical concepts and machine learning algorithms in a clear and concise manner. ## Books Explore in-depth knowledge with these recommended books: - **"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron**: A practical guide to machine learning with hands-on examples using popular Python libraries. - **"Data Science for Business" by Foster Provost and Tom Fawcett**: A book that explores how data science can be applied to solve business problems and drive decision-making. ## Community and Forums Engage with the data science community, ask questions, and share knowledge: - [Reddit - r/datascience](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://www.reddit.com/r/datascience/): A subreddit for discussions related to data science techniques, tools, and career advice. - [Stack Overflow - Data Science](https://github.com/AmanMehta199816/Data-Science-By-Aman-Mehta/blob/master/https://stackoverflow.com/questions/tagged/data-science): Ask and answer questions related to data science programming and implementation. Feel free to contribute to this repository by adding more resources, tutorials, or tools that you find helpful for data science practitioners. Let's continue to explore and advance the field of data science together! **Disclaimer:** The information provided in this repository is for educational purposes only. Always verify information and use best practices when applying data science techniques.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：