pankaj1505,PANKAJ KUMAR,github

50projects50days

50+ mini web projects using HTML, CSS & JS

awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

coursera-java-for-android

Solutions for the course Java for Android

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-structure-graph

class Graph: def __init__(self, nodesCount): self.numberOfNodes = nodesCount self.adjacencyList = [] for i in range(self.numberOfNodes): self.adjacencyList.append([]) def addEdge(self, a, b): if a >= self.numberOfNodes and b >= self.numberOfNodes: raise Exception('Invalid node provided') self.adjacencyList[a].append(b) self.adjacencyList[b].append(a) def showConnections(self): for i in range(self.numberOfNodes): print(i, '--> ', sep='', end='') for j in range(len(self.adjacencyList[i])): print(self.adjacencyList[i][j], ' ', sep='', end='') print() if __name__ == '__main__': graph1 = Graph(7) graph1.addEdge(3, 1) graph1.addEdge(3, 4) graph1.addEdge(4, 2) graph1.addEdge(4, 5) graph1.addEdge(1, 2) graph1.addEdge(1, 0) graph1.addEdge(0, 2) graph1.addEdge(6, 5) graph1.showConnections() ''' OUTPUT 0--> 1 2 1--> 3 2 0 2--> 4 1 0 3--> 1 4 4--> 3 2 5 5--> 4 6 6--> 5 '''

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

devops-automation-tools

DevOps Automation Tools

django-ecommerce

An e-commerce website built with Django

dp100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

git-tutorials

This is a repository that I created on Aprial 2021

handson-data-analysis-and-ml

Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride. Regardless, each bike can serve several users per day. Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used. In this project, you will use data provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC. Day:1 In this project, Students will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. They will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics. Technologies that will be covered are Numpy, Pandas, Matplotlib, Seaborn, Jupyter notebook. We will be giving the students a deep dive into the Data Analytical process Day:2 We will be giving the students an insight into one of the major fields of Machine Learning ie. Time Series forcasting we will be taking them through the relevant theory and make them understand of the importance and different techniques that are available to deal with it. After that we will be working hands on the bike share data set implementing different algorithms and understanding them to the core We aim to provide students an insight into what exactly is the job of a data analyst and get them familiarise to how does the entire data analysis process work. The session will be hosted by Shaurya Sinha a data analyst at Jio and Parag Mittal Software engineer at Microsoft.