Hi 👋, I'm Nithish babu

Looking for an opportunity in DataScience

🌱 I’m currently learning MACHINE LEARNING AND DEEP LEARNING
👨‍💻 All of my projects are available at https://github.com/nithishbabu
💬 Ask me about "ML", "DL", "NLP", "COMPUTER VISION", "GAMING".
📫 How to reach me https://www.linkedin.com/in/gunda-nithish-a52bb518a
⚡ Fun fact "There are two ways to write error-free programs; only the third one works"

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Gunda Nithish babu's Projects

databricks-certification

Databricks Certified Associate Developer for Apache Spark 3.0

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

machine-learning-with-scikit-learn-python-3.x

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lear

modern-computer-vision-with-pytorch

Modern Computer Vision with PyTorch, published by Packt

pyspark

Git Repository

spark_j_p

Apache Spark - A unified analytics engine for large-scale data processing

the-complete-faang-preparation

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.