Vijay Kumar Vadla's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
AI_ChatBot_Python
AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
confusion-matrix-a-simple-nice-print
A simple way to make a nice print of confusion matrix using Seaborn and Matplotlib.
Data-Science-Cheatsheet
A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Data-Science-Projects
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
DataScience_ArtificialIntelligence_Utils
Examples of Data Science projects and Artificial Intelligence problems
gre
My GRE preparation material and it's related scripts
GRE-Material
Download the GRE Material from here
Linear-Regression-Implementation-in-Python
Machine Learning Course in Python
Machine-Learning-Classifications
Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Natural-Language-Processing-Tutorials-1
Natural Language Processing Tutorials(NLP) with Julia and Python
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Numpy
Numpy Tutorials
pandas_exercises
Practice your pandas skills!
pycon-2019-tutorial
Data Science Best Practices with pandas
pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
python-deep-learning-chatbot
A deep learning chatbot created with Python and Flask
Python_Decision_Tree_and_Random_Forest
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
random-forest
Implementation of a Random Forest classifier in both Python and Scala
seaborn
This is the Seaborn cheat sheet I made to go along with my Seaborn Tutorial Series
Seaborn-1
Data Visualization With Seaborn
seaborn-tutorial
seaborn tutorial
tensorflow
An Open Source Machine Learning Framework for Everyone
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Visualization-Techniques-for-Data-Science-Machine-Learning
Learn to visualize data and perform animations of data in the best way! Understand different techniques and concepts behind these tools.