Pinned Repositories
2020-PY-101
This Python for beginners training course leads the students from the basics of writing and running Python scripts to more advanced features such as file operations, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.
basics
📚 Learn ML with clean code, simplified math and illustrative visuals.
CodingNinjas_DataScience_MachineLearning
The notebooks are written in a way that they are sufficient on their own to learn the basics of Python, Machine Learning and Data Science.
data-science-complete-tutorial
For extensive instructor led learning
DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
DS_and_ML_projects
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
machine-learning-for-trading
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
Machine-Learning-in-90-days
Machine-Learning-with-Python-1
Python code for common Machine Learning Algorithms
shrikant9793's Repositories
shrikant9793/2020-PY-101
This Python for beginners training course leads the students from the basics of writing and running Python scripts to more advanced features such as file operations, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.
shrikant9793/basics
📚 Learn ML with clean code, simplified math and illustrative visuals.
shrikant9793/CodingNinjas_DataScience_MachineLearning
The notebooks are written in a way that they are sufficient on their own to learn the basics of Python, Machine Learning and Data Science.
shrikant9793/data-science-complete-tutorial
For extensive instructor led learning
shrikant9793/Machine-Learning-in-90-days
shrikant9793/Machine-Learning-with-Python-1
Python code for common Machine Learning Algorithms
shrikant9793/Matplotlib
Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+. There is also a procedural "pylab" interface based on a state machine, designed to closely resemble that of MATLAB, though its use is discouraged. SciPy makes use of Matplotlib.
shrikant9793/ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
shrikant9793/Numpy-with-Python
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities
shrikant9793/Pandas-Practice
Pandas
shrikant9793/pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
shrikant9793/Python-Basic-For-All-3.x
We are going to Learn Python, it is a powerful multi-purpose programming language created by Guido van Rossum. It has simple easy-to-use syntax, making it the perfect language for someone trying to learn computer programming for the first time. This is a comprehensive guide on how to get started in Python, why you should learn it and how you can learn it. However, if you knowledge of other programming languages and want to quickly get started with Python.
shrikant9793/100-Days-Of-ML-Code
100 Days of ML Coding
shrikant9793/cufflinks
Productivity Tools for Plotly + Pandas
shrikant9793/Data-Science-and-Machine-Learning-from-Scratch
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
shrikant9793/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
shrikant9793/Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
shrikant9793/Machine-Learning-Concepts
Machine Learning Concepts with Concepts
shrikant9793/Machine-Learning-Problems-DataSets
We currently maintain 488 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please visit our About page. For information about citing data sets in publications, please read our citation policy. If you wish to donate a data set, please consult our donation policy. For any other questions, feel free to contact the Repository librarians.
shrikant9793/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
shrikant9793/Machine-Learning-with-Python-2
Contains all the basics of Machine Learning. Code in Python
shrikant9793/machine_learning
Basics of Machine learning end to end input data
shrikant9793/machine_learning_basics
Plain python implementations of basic machine learning algorithms
shrikant9793/machine_learning_earthquake_rupture
This repository contains python codes to classify earthquake rupture based on random forest and neural network.
shrikant9793/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
shrikant9793/ML-With_python_pract
shrikant9793/numpy-intro-blogarticle-2020
Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article
shrikant9793/parulpandey-github-io
shrikant9793/PRML
PRML algorithms implemented in Python
shrikant9793/Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.