Sazee S. (ManinderpreetPuri)

ManinderpreetPuri

Geek Repo

Company:La Trobe University

Location:Melbourne, Australia

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Sazee S.'s repositories

PythonTick-Tac-Toe-Game

I have designed popular tick-tac-toe game in python. The game is designed in two ways: procedural programmng and object-oriented programming. In this project I have used programming concepts: Classes/Objects, conditions(if/elsif/else), user defined functions, In-build functions, Exception handling. I have learned other OOPS concepts like inheritance, encapsulation, and polymorphisim.

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Sazee_S

Config files for my GitHub profile.

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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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Python_programs

I created programs in python using spyder (anaconda3) navigator.

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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

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py

Repository to store sample python programs for python learning

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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d2l-zh-colab

Automatically Generated d2l-zh Notebooks for Colab

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Business-Resilliance-Program-Data-Analysis

I utilized Power BI and MS excel to bring insights into MIC's Business Resilience Program(BRP) which aims to support small businesses during COVID pandemic in states: Victoria, South Australia and Tasmania. BRP is an initiative by MIC in collaboration with the Australian Small Business Advisory Services (ASBAS) digital solutions.

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Analysis-of-Repeated-Measures-using-R-studio

This project uses R studio to explore the three sample datasets to determine the correlation of various parameters in the datasets with statistical tests using r-packages (nlme, multcomp, lmerTest, foreign, tidyverse, plyr).

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Bioinformatics-Neucleotide-translation-transcription

This project is to read a fasta file and read the nucleotide bases. Then translate it to mRNA and then to a protein sequence. Python code is used for the translation and transcription of sequences.

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Lesion-Dataset---Deep-Learning-project

Uses deep learning in Python with Keras, Pandas, Numpy, Tensorflow, ScIkit-Learn libraries.

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Text_Classification

Text Classification Algorithms: A Survey

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berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

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d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

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examples_AI

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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