Sajjad Haider (Sajjad5)

Sajjad5

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Location:Frankfurt am Main

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Sajjad Haider's repositories

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

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The-Simplest-Guide-to-SAS-Programming-Base-SAS-Advanced-SAS-

The Simplest Guide™ to SAS Programming | Base SAS | Advanced SAS, published by Packt

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incomplete-trading-bot

An incomplete automatic trading bot written with Python3 and working with Alpaca

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Python-for-Finance-Cookbook

Python for Finance Cookbook, published by Packt

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Datacamp-Python-Exercises

Data-Science Python courses from DataCamp

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datacamp-python-data-science-track

All the slides, accompanying code and exercises all stored in this repo. 🎈

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Datacamp-Data-Analyst-with-SQL-Server-Track

View all the Course contents of the Data Analyst with SQL Server- Track from DataCamp

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python-notebooks

A collection of my Python Jupyter notebooks.

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DataCamp-1

DataCamp: 1) Data Scientist with Python 2) Data Analyst with Python 3) Data Analyst with SQL Server 4) Machine Learning Scientist with Python

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Achievements-in-Data-Science

This repository only show my certficates of achievements in data science

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R-Programmer-Career-Track

https://learn.datacamp.com/career-tracks/r-programmer?version=4

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Deep-Learning-Specialization

Deep Learning Specialization. Master Deep Learning, and Break into AI. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.

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TensorFlow-in-Practice-Specialization

In this four-course Specialization, l explored exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as I train it to identify real-world images. I learned machines to understand, analyze, and respond to human speech with natural language processing systems. Learned to process text, represent sentences as vectors, and input data to a neural network. I even trained an AI to create original poetry!

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KPMG-Virtual-Internship

https://www.insidesherpa.com/virtual-internships/m7W4GMqeT3bh9Nb2c

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Coursera_Capstone

This repository shows the work done on IBM Data Science Professional Certificate

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Machine-Learning-Scientist-with-Python

Master the essential skills to land a job as a machine learning scientist! You'll augment your Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning. You'll learn how to process data for features, train your models, assess performance, and tune parameters for better performance. In the process, you'll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.(DataCamp)

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Dr.-Semmelweis-and-the-discovery-of-handwashing

Reanalyse the data behind one of the most important discoveries of modern medicine: Handwashing

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Customer-Anlaytics-in-Python

In this project I will discuss the various concepts such as predictive analytics, sementations, market mix and deep learning concepts for customer analytics with Python

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datacamp

A repository that contains courses I have taken on DataCamp

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Quantitative-Analyst-with-R-Career-Track-DataCamp

In finance, quantitative analysts ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models

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