This Repository Contains all the Lecture Notes, Assignments, Coding Problems and Everything of M.Tech AI at IIT Hyderabad 2023-2025
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Updated
Oct 5, 2024 - Jupyter Notebook
This Repository Contains all the Lecture Notes, Assignments, Coding Problems and Everything of M.Tech AI at IIT Hyderabad 2023-2025
Intuitive Probability API in Python
Assignments and project related to the Statistics and Probability course, taught by Mohammad Karbasi.
A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.
Forth defining words for random variables.
Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
The basic concepts of probability are shown, through the interpretation of a .csv file where the inspection of N elements is shown
Assignment Advance Stats
This repository houses a comprehensive Graphical User Interface (GUI) tool designed for analyzing and visualizing random variables (RVs) and random processes (RPs). The tool allows users to input specific values and parameters of RVs and RPs, enabling the generation of statistical data, graphical representations, and calculations related
R package to help working with continuous random variables built for our Probabilities and Statistics course
Continuous Random Variable Generator
A .Net (C#) based GUI-application that performs some statistical analysis on a .txt file, mapping the numbers (0-9) and the letters, both uppercase and lowercase letters, into random variables (RVs). Moreover, StatisText computes both PMF and CDF of each RV in addition to some statistical moments (e.g. mean, variance, skewness and kurtosis).
For studying MMCS, defined special probability distributions as classes. Also renders example graphs.
Stochastic sampling and statistical response analysis of systems with uncertain parameters
Solutions for the basic statictics problems
🗑 Implement an outlier removal method [👨🏫 Teacher: Бернгардт Олег Игоревич] {5️⃣ Semester} (Data analysis)
The course assignments from BM2033 - Probability and Random Processes
Multi-core EBGstop algorithm implementation
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
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