Numerical Methods in SciPy
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Updated
Sep 16, 2024 - Jupyter Notebook
Numerical Methods in SciPy
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Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.
The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction
In this hands-on training notebook how to use the matplotlib library to plot beautiful graphs in python.
The University of California, San Diego, course DSE210x "Probability and Statistics in Data Science using Python" (Winter 2018): Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Part 2 of »Data Science« MicroMasters® on edX, Instructors: Alon Orlitsky and Yoav Freund, Professors of CS and En…
🎓 A collection of Problem Sets for "MITx: 6.00.2x Introduction to Computational Thinking and Data Science", edX, March-May, 2021
Physical and Data Link Layer funtionalities of the TCP/IP Model. Manchester Encoding, Cyclic Redundancy Check (CRC), Frame by Frame communication and plotting graphs by PyLab.
Projects and Exercises created on the Course: Introduction to Computational Thinking and Data Science (MITx 6.00.2x) provided by the Massachusetts Institute of Technology (MIT) on EDX platform.
Complete cleaning and text preparation of the mythical Titanic dataset with the pandas library
This repository contains python scripts to conduct exploratory visual analysis and various advanced analytical approaches to test hypotheses..
Creating a classifier for terrain dataset and calculating the accuracy using different values of C and gamma
A tool that shows current captured data in the form of pie charts , bar graphs and line plots using matplotlib in python .
Codes for various important numeric method computation done during the course ESO208
Auto ARIMA Model
A random walk model for diffusion of a drop of dye in water.
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