Pinned Repositories
02_Python_Datatypes
Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
08_Python_Date_Time_Module
Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime
09_Python_NumPy_Module
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
10_Python_Pandas_Module
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
devops-master-class
Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
fellowship
Flowers 102 Classification Using ResNet50
Hands-On-Deep-Learning-Algorithms-with-Python
Hands-On Deep Learning Algorithms with Python, By Packt
Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-3rd-Edition
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
punitiisc's Repositories
punitiisc/02_Python_Datatypes
Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
punitiisc/08_Python_Date_Time_Module
Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime
punitiisc/09_Python_NumPy_Module
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
punitiisc/10_Python_Pandas_Module
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
punitiisc/Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
punitiisc/devops-master-class
Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
punitiisc/fellowship
Flowers 102 Classification Using ResNet50
punitiisc/Hands-On-Deep-Learning-Algorithms-with-Python
Hands-On Deep Learning Algorithms with Python, By Packt
punitiisc/Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-3rd-Edition
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
punitiisc/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
punitiisc/ieee-etfa2020-paper
Machine Learning Based Unbalance Detection of a Rotating Shaft Using Vibration Data
punitiisc/LiDAR-Road-Analysis
Given a 3D point cloud obtained by a LiDAR sensor mounted on a car, output the road properties such as road boundaries, lane markings, lane geometry.
punitiisc/OpenAI-Reinforcement-Learning-with-Custom-Environment
This code accompanies the YouTube tutorial where we build a custom OpenAI environment for reinforcement learning.
punitiisc/ppo-implementation-details
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
punitiisc/reinforcement-learning-an-introduction-second-edition
Python implementation of RL algorithms presented in Richard Sutton and Andrew Barto's book Reinforcement Learning: An Introduction (second edtion)
punitiisc/Robotics_PyBullet
punitiisc/ROS2-Self-Driving-Car-AI-using-OpenCV
ROS2 Self Driving Car using Deeplearning and Object Tracking through openCV
punitiisc/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
punitiisc/Time-Series-Analysis
code and data for the time series analysis vids on my YouTube channel
punitiisc/turbofan-remaining-life-prediction
Remaining Useful Life (RUL) prediction for Turbofan Engines
punitiisc/weather
punitiisc/youtube-tutorials
A collection of the code I have written for my YouTube tutorials.