python4datascience

There are 3 repositories under python4datascience topic.

milaan9 / 93_Python_Data_Analytics_Projects
This repository contains all the data analytics projects that I've worked on in python.
cervical-cancer-prediction covid-19-prediction poker-hand-predictor stock-news-prediction breast-cancer-prediction english-french-tranlation resume-selection tutor-milaan9 machine-learning-projects data-analytics-projects ipython-notebook python4datascience python4everybody machine-learning data-science
Language:Jupyter Notebook 443
milaan9 / 01_Python_Introduction
Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.
jupyter-notebook python4datascience python4beginner python4everybody python-tutorials python-tutorial-github python-tutorial-notebook python-tutor python-introduction python-jupyter-notebooks jupyter-tutorial tutorial-exercises tutorial-github tutor-milaan9 python-keywords python-variables python-operators type-conversion namespace-scope python-imports
Language:Jupyter Notebook 306
milaan9 / 06_Python_Object_Class
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
ipython-notebook oops-in-python oop-concepts oop-principles python4beginner python4everybody python4datascience inheritance operator-overloading oop-examples polymorphism operatoroverloding classes-and-objects python-tutorial-github python-tutorial-notebook python-tutor encapsulation instance-variables instance-methods tutor-milaan9
Language:Jupyter Notebook 286
milaan9 / 91_Python_Mini_Projects
webscraping python-games python-mini-projects python4beginner python4everybody python4datascience ipython-to-pdf python-digital-clock py-to-exe js-in-python covid-19-india miniprogram mini-project mini-projects mini-program tutor-milaan9 python-tutorial-github python-tutorial-notebook python-tutorials python-tutor
Language:Jupyter Notebook 286
milaan9 / 07_Python_Advanced_Topics
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
ipython-notebook python4beginner python4everybody python4datascience python-iterators python-generators python-closure python-decorators python-property python-regex args-kwargs-master python-tutorial-github python-tutorial-notebook python-tutor python-tutorials python-advance-topics generator-function property-decorators match-object tutor-milaan9
Language:Jupyter Notebook 281
milaan9 / 90_Python_Examples
The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your own.
python-examples python4beginner python4everybody python4datascience python-programming python-exercises python-exercises-for-interview examples examples-python python-tutorial-github python-tutorial-notebook python-tutor tutor-milaan9 object-oriented-examples flow-control-examples python-functions-examples python-examples-github python-files-examples python-advance-examples python-basic-examples
Language:Jupyter Notebook 272
milaan9 / Python_Decision_Tree_and_Random_Forest
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
decision-tree decision-tree-classifier decision-tree-algorithm decision-tree-classification decision-tree-id3 id3-algorithm python-decisiontreeclassifier python-decision-tree python4beginner python4everybody python4datascience python-tutorial-notebook python-tutorial-github decision-tree-playgolf iris-classification cart-algorithm tutor-milaan9 random-forest dtreeviz graphviz
Language:Jupyter Notebook 242
milaan9 / 10_Python_Pandas_Module
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
python-pandas pandas-dataframe pandas-tutorial pandas-tricks-for-data-manipulation pandas-python python4beginner python4datascience pandas-series dataframe-from-dictionary dataframe-from-list dataframe-drop-columns dataframe-to-dictionary dataframe-drop-duplicates pandas-datareader pandas-excercises python-tutorial-github python-tutorial-notebook python-tutorials python-tutor tutor-milaan9
Language:Jupyter Notebook 237
milaan9 / Python_Computer_Vision_from_Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
canny-edge-detection eigenfaces sobel-filter sobel-operator hough-lines feature-extraction image-manipulation computer-vision dtw-algorithm tutor-milaan9 image-processing image-recognition image-analysis ipython-notebook python4datascience python4everybody machine-learning
Language:Jupyter Notebook 235
milaan9 / 02_Python_Datatypes
Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
python4everybody python4datascience python-datatypes python-string-methods python-string-maupulation python-list-methods python-tuple-methods python-dictionary-methods python-sets-methods python-tutorial-github python-tutorial-notebook python-strings python-lists python-tuples python-dictionary python-sets list-comprehension list-comprehensions python-tutorials tutor-milaan9
Language:Jupyter Notebook 232
milaan9 / 04_Python_Functions
The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns the value.
python4beginner python4everybody python4datascience functions-python lamda-functions builtin-functions recursive-functions random-module math-functions anonymous-functions docstrings userdefined-functions global-local-nonlocal built-in-functions python-tutorial-github python-tutorial-notebook python-tutor python-functions functional-arguments tutor-milaan9
Language:Jupyter Notebook 228
milaan9 / 09_Python_NumPy_Module
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
ipython-notebook numpy numpy-arrays python4beginner python4everybody python4datascience numpy-tutorial numpy-exercises python-tutorial-github python-tutorial-notebook python-tutorials python-tutor numpy-matrix numpy-exercise-solutions array-methods array-manipulations array-indexing array-math array-reorganizing tutor-milaan9
Language:Jupyter Notebook 228
milaan9 / 08_Python_Date_Time_Module
Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime modules.
ipython-notebook python4beginner python4everybody python4datascience datetime python-datetime python-tutorial-github python-tutorial-notebook python-tutor python-tutorials strftime strptime timstamp time-module datetime-module current-time current-date python-sleep tutor-milaan9 python-tutorial
Language:Jupyter Notebook 224
milaan9 / 05_Python_Files
Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here is also easy and short. Python treats files differently as text or binary and this is important.
ipython-notebook ipython python4beginner python4everybody python4datascience pythontutorial file-input-output file-exception file-exception-handeling file-directory python-tutor python-tutorial-github python-tutorial-notebook python-tutorials file-handling python-files exception-handling exceptions userdefined-exceptions tutor-milaan9
Language:Jupyter Notebook 223
milaan9 / 03_Python_Flow_Control
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
python4beginner python4everybody python4datascience ipython-notebook python-flow-control jupyter-notebooks if-else-statements if-elif-else nested-if-else-statements for-loop while-loop nested-for-loops nested-while-loops if-statement break-continue-pass control-statements python-tutorial-notebook python-tutorial-github python-tutorials tutor-milaan9
Language:Jupyter Notebook 218
milaan9 / 11_Python_Matplotlib_Module
Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc
ipython-notebook python4beginner python4everybody python4datascience matplotlib-tutorial matplotlib-pyplot matplotlib python-tutorial-github python-tutorial-notebook python-tutorials python-tutor matplotlib-python matplotlib-figures matplotlib-examples matplotlib-heatmap python-matplotlib matplotlib-exercises data-visualization data-analysis tutor-milaan9
Language:Jupyter Notebook 218
milaan9 / 12_Python_Seaborn_Module
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
ipython-notebooks python-visualization python-seaborn seaborn-tutorial seaborn-plots seaborn-image seaborn python4everybody python4datascience data-visualization scatterplot-visualization boxplot violinplot facetgrid heatmap lmplot distplot barplots stripplots tutor-milaan9
Language:Jupyter Notebook 217
milaan9 / DataScience_Interview_Questions
My Solutions to 120 commonly asked data science interview questions.
data-science machine-learning predective-modeling probability statistical-inference data-analysis product-metrics interview-questions interview-preparation tutor-milaan9 python4datascience python-tutorial-github python-jupyter-notebooks
Language:Jupyter Notebook 202
milaan9 / milaan9
readme profile github tutor-milaan9 python-tutor python-tutorial-notebook readme-template readme-profile readme-badges readme-card readme-stats profile-readme profile-template profile-page python4beginner python4everybody python4datascience template-readme
Language:Python 193
milaan9 / Python_Natural_Language_Processing
This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.
nlp tokenization stemming lemmatization stopwords partofspeech-tagger named-entity-recognition sentence-segmentation bag-of-words termfrequency inversedocumentfrequency tf-idf vocabulary-matching python4datascience python4everybody tutor-milaan9 ipython-notebook
Language:Jupyter Notebook 190
milaan9 / 92_Python_Games
This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
python3 ipython-notebook python-games python-games-with-ai tic-tac-toe-with-ai bulls-and-cows-solver bulls-and-cows-with-ai python4beginner python4everybody python4datascience tutor-milaan9 python-tutorial-github python-tutorial-notebook python-tutorials game-2d games-with-ai board-games tic-tac-toe bulls-and-cows
Language:Jupyter Notebook 185
milaan9 / Machine_Learning_Algorithms_from_Scratch
This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
machine-learning data-science machine-learning-matlab machine-learning-python tutor-milaan9 naive-bayes-classifier gaussian-naive-bayes fitting-algorithm error-functions frequentist-methods singular-value-decomposition value-iteration-algorithm dynamic-time-warping machine-learning-algorithms matlab4datascience python4datascience decision-trees random-forest
Language:Jupyter Notebook 182
H-K-R / Online-Judge-Solves-in-Python
Python could learn most effectively by using practice examples. The repository includes examples of fundamental Python ideas. It is encouraged you use the examples as references and test the concepts on your own.
python-basic-examples python-basics python-exercises python-exercises-with-solutions python-programming-language python4beginner python4datascience
Language:Python 16

python4datascience

milaan9 / 93_Python_Data_Analytics_Projects

milaan9 / 01_Python_Introduction

milaan9 / 06_Python_Object_Class

milaan9 / 91_Python_Mini_Projects

milaan9 / 07_Python_Advanced_Topics

milaan9 / 90_Python_Examples

milaan9 / Python_Decision_Tree_and_Random_Forest

milaan9 / 10_Python_Pandas_Module

milaan9 / Python_Computer_Vision_from_Scratch

milaan9 / 02_Python_Datatypes

milaan9 / 04_Python_Functions

milaan9 / 09_Python_NumPy_Module

milaan9 / 08_Python_Date_Time_Module

milaan9 / 05_Python_Files

milaan9 / 03_Python_Flow_Control

milaan9 / 11_Python_Matplotlib_Module

milaan9 / 12_Python_Seaborn_Module

milaan9 / DataScience_Interview_Questions

milaan9 / milaan9

milaan9 / Python_Natural_Language_Processing

milaan9 / 92_Python_Games

milaan9 / Machine_Learning_Algorithms_from_Scratch

H-K-R / Online-Judge-Solves-in-Python