Pinned Repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
cai-data-explorer
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
Computational-statistics-with-Python
Resources for STA 633 class
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
dataanalysis
The lecture slides for Coursera's Data Analysis class
dssi-py
gnqm's Repositories
gnqm/cai-data-explorer
gnqm/dssi-py
gnqm/10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
gnqm/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
gnqm/Computational-statistics-with-Python
Resources for STA 633 class
gnqm/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
gnqm/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
gnqm/dataanalysis
The lecture slides for Coursera's Data Analysis class
gnqm/DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
gnqm/DSND_Term2
Contains files related to content and project of DSND Term 2
gnqm/fight-churn
Code from the book Fighting Churn With Data
gnqm/FreeCodeCamp
The https://FreeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.
gnqm/gen_ai
gnqm/github-cheat-sheet
A list of cool features of Git and GitHub.
gnqm/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
gnqm/intro-python-data-science
The Art of Data Science - Python @
gnqm/mlcourse.ai
Open Machine Learning Course
gnqm/pdfminer
Python PDF Parser
gnqm/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
gnqm/Programs
Logical Programs
gnqm/project-based-learning
Curated list of project-based tutorials
gnqm/public-apis
A collective list of free APIs
gnqm/pyconuk-introtutorial
practical introduction to pandas and scikit-learn via Kaggle problems
gnqm/Python
All Algorithms implemented in Python
gnqm/Python-Beginners-Guide
Learn basics of Python from scratch with self explanatory examples
gnqm/R_Programming_E
:incoming_envelope: Team swirl's R Programming Course with Email Notifications
gnqm/rpackages
R package development - the Leek group way!
gnqm/SAS
This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience.
gnqm/you-get
:arrow_double_down: Dumb downloader that scrapes the web
gnqm/zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)