summuk Goto Github PK

imbalance_class_sklearn

Address imbalance classes in machine learning projects.

iml-talk

Talk about interpretable machine learning

information-extraction-using-python

A notebook to understand the concept of Information Extraction using NLP techniques in Python.

insurancefrauddetection

interpretable-ml-book

Book about interpretable machine learning

interview-prepartion-data-science

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ioc_lqr

inverse optimal control

java

Java code for YouTube videos

jokerecommender

My solution to the Jester Practice Problem on analyticsvidhya.com -- https://datahack.analyticsvidhya.com/contest/jester-practice-problem/

k-means-materials

k-nearest-neighour

k_means_iris_dataset

KMeans Clustering for IRIS Dataset Classification

kaggle-2018-survey-analysis

Using Exploratory Data Analysis to understand Gender Pay Gap among Data Scientist in the US and India

kaggle-datasets

This Repository is created to showcase my work on the Datasets, downloaded from the Kaggle, since Kaggle is the platform, from which i have learned many new things, as well as implemented them, in my work.

kaggle_seti_signal_search

Kaggle competition - Spectrogram classification

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman-filter

The Kalman Filter (Python & MATLAB)

kmbox

Kernel Methods Toolbox for Matlab/Octave

kmeans_basics

knn-projects

koopman_encoder_decoder

Koopman assisted deep learning

lasso-regression-python

This repository shows how Lasso Regression selects correlated predictors

le-symbolic-dynamic-general-kinematic-chains

Dynamic simulation with Lagrange-Euler for a general kinematic chain defined by sets of DH parameters.

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

learning-image-segmentation

An image is a collection or set of different pixels. We group together the pixels that have similar attributes using image segmentation.

lime

Lime: Explaining the predictions of any machine learning classifier

lime-model-interpretation

linear-regression-from-scratch

A python implementation of linear regression from scratch