Milaan Parmar / Милан / 米兰 's starred repositories
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deeplearning-models
A collection of various deep learning architectures, models, and tips
PySimpleGUI
Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.
machine_learning_examples
A collection of machine learning examples and tutorials.
dlaicourse
Notebooks for learning deep learning
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
scikit-learn-tips
:robot::zap: 50 scikit-learn tips
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Machine-Learning-Web-Apps
Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)
MatlabFunc
Matlab codes for feature learning
Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
stat451-machine-learning-fs20
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
udemy-machine-learning-examples
LazyProgrammer Udemy Course Content
OPTICS_Clustering
MATLAB Implementation of the OPTICS unsupervised clustering algorithm
clustering
Comparison among K-Means, DBSCAN and Density Peak
data-mining-conferences
Ranking, acceptance rate, deadline, and publication tips