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AMEERKOTTA

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Deep Learning and Artificial Intelligence , Tensorflow 2.0 is a Course attended from Udemy Platform.

hands_on_machine_learning_with_sklearn_keras_and_tensorflow

Study of Machine Learning

Jupyter Notebook

Complete-ML-Course-with-Python---Udemy

Udemy Course. Complete ML Course with Python.

Jupyter Notebook

program_in_python

Python Programming Complete Concepts for Reference

Jupyter Notebook

Text-Detection-OpenCV-OCR-Python

In this Repository, there is a Detailed Explanation of Text Detection from Images. Text Detection using OCR(Optical Character Recognition). Its Done by pytesseract Library. Text Detection Includes Character Detection, Word Detection, Digit Detection.

Python

lstm-rnn-mnist

This repo talks about the concepts of lstm models, stacking of lstm to create rnn, mnist classification using lstm rnn model, language modelling and character modelling using lstm/rnn techniques

Jupyter Notebook

technical_analysis_with_python_for_algorithmic_trading

Jupyter Notebook

clustering-scikit-learn

Jupyter Notebook

data-viz-python

Different Data Visualization techniques using matplotlib,seaborn, etc

OpenCV

Detailed study of Basic Concepts and Algorithms of OpenCV which are useful in real time Computer Vision Projects.

Python

tensorflow-basics

Its a Discussion about basic Tensorflow Operations and Implementation of Linear and Logistic Regression using tensorflow.

Jupyter Notebook

python-programs

useful python programs related to different purpose

Jupyter Notebook

cnn-keras-classification

convolutional neural network that classifies cats and dogs using cnn-keras.

Python

facerecognition-opencv

This repo is about Face Recognition model Development.

Python

deep_learning_specialization

Coursera Deep Learning Specialization

Jupyter Notebook

AMEERKOTTA

smile_detection_opencv

Model that Capture Images by Detecting Smile in the Face.

Python

Algorithmic-Trading

Detailed Study of Algorithmic Trading

mnist-digit-classification

It's a repository discuss about the digit classification using cnn with mnist dataset. Repo includes three subtopics that talk about the convolution operation using different packages like python (numpy/scipy) and tensorflow. Image classification is done using simple multi-layer perceptron and convolutional neural network. version of the tensorflow used in this notebook is 1.8

Jupyter Notebook

Data-Analysis-with-Python

This Repository discussing about Data Analysis methods and Best Practices.

Jupyter Notebook

ml_with_tensorflow

Jupyter Notebook

ML-concepts-and-techniques-in-Practice

This repo contains Basic ML concepts and Techniques.

Jupyter Notebook

Machine-Learning-Models

This Repo Discuss about Various ML Algorithms, implementation, Model Development, and Evaluation Techniques.

Jupyter Notebook

deep_learning_with_python

Deep Learning with Python TextBook. Detailed Study.

Computer-Vision-with-Python

This repository is based on the book Computer Vision programming with Python. This describes concepts and codes regarding computer vision problems, applications and solutions.

Jupyter Notebook

ComputerVision-Tensorflow-Keras

Jupyter Notebook

fake-news-detection

Model to Classify News thread REAL or FAKE

Jupyter Notebook

Automate_Everything_with_Python

Automating Everything with Python Programming

Jupyter Notebook

Data-Analysis-with-Python-NumPy-Pandas-Masterclass

Detailed Study of Data Analysis with Pandas and Numpy.

Jupyter Notebook

AMEERKOTTA/Deep-Learning-and-Artificial-Intelligence-Tensorflow-2.0

AMEERKOTTA

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