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python4datascience
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This repository contains all the data analytics projects that I've worked on in python.
data-science
machine-learning
ipython-notebook
breast-cancer-prediction
machine-learning-projects
covid-19-prediction
python4everybody
python4datascience
tutor-milaan9
cervical-cancer-prediction
poker-hand-predictor
stock-news-prediction
english-french-tranlation
resume-selection
data-analytics-projects
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Dec 9, 2022
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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.
python-tutorials
jupyter-notebook
type-conversion
tutorial-exercises
python4beginner
python-jupyter-notebooks
jupyter-tutorial
python-variables
python-keywords
tutorial-github
python-imports
python-introduction
python-tutorial-notebook
python-tutor
python-operators
python4everybody
python-tutorial-github
python4datascience
tutor-milaan9
namespace-scope
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Oct 26, 2023
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python-tutorials
webscraping
mini-program
mini-projects
python4beginner
mini-project
miniprogram
python-mini-projects
python-games
covid-19-india
python-tutorial-notebook
python-tutor
python4everybody
py-to-exe
python-tutorial-github
python4datascience
ipython-to-pdf
python-digital-clock
js-in-python
tutor-milaan9
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Sep 21, 2023
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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
inheritance
oop-principles
polymorphism
encapsulation
python4beginner
operator-overloading
oop-examples
oop-concepts
oops-in-python
classes-and-objects
instance-methods
python-tutorial-notebook
python-tutor
operatoroverloding
instance-variables
python4everybody
python-tutorial-github
python4datascience
tutor-milaan9
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Dec 9, 2022
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287
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You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
python-tutorials
ipython-notebook
python-decorators
python4beginner
generator-function
python-generators
property-decorators
python-regex
python-tutorial-notebook
python-tutor
args-kwargs-master
python-iterators
python4everybody
python-tutorial-github
python4datascience
python-closure
python-property
python-advance-topics
match-object
tutor-milaan9
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Jan 24, 2024
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Jupyter Notebook
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287
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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.
examples
python-programming
python-exercises
python4beginner
python-examples
python-exercises-for-interview
examples-python
python-tutorial-notebook
python-tutor
python4everybody
python-tutorial-github
python4datascience
tutor-milaan9
object-oriented-examples
flow-control-examples
python-functions-examples
python-examples-github
python-files-examples
python-advance-examples
python-basic-examples
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Nov 2, 2023
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250
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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.
graphviz
random-forest
decision-tree
decision-tree-classifier
python4beginner
decision-tree-algorithm
id3-algorithm
python-decisiontreeclassifier
iris-classification
cart-algorithm
decision-tree-classification
decision-tree-id3
python-tutorial-notebook
python4everybody
python-tutorial-github
python4datascience
python-decision-tree
decision-tree-playgolf
tutor-milaan9
dtreeviz
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Dec 9, 2022
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236
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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-tutorials
pandas-dataframe
python4beginner
pandas-tutorial
python-pandas
pandas-datareader
pandas-python
pandas-tricks-for-data-manipulation
pandas-series
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python-tutorial-notebook
python-tutor
python-tutorial-github
python4datascience
dataframe-from-dictionary
dataframe-from-list
dataframe-drop-columns
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tutor-milaan9
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Dec 9, 2022
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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…
machine-learning
computer-vision
image-processing
ipython-notebook
feature-extraction
image-manipulation
image-recognition
image-analysis
canny-edge-detection
eigenfaces
hough-lines
sobel-filter
sobel-operator
dtw-algorithm
python4everybody
python4datascience
tutor-milaan9
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Dec 9, 2022
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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.
python-tutorials
list-comprehension
python-dictionary
python-string-maupulation
python-lists
python-sets
python-tuples
list-comprehensions
python-strings
python-tutorial-notebook
python-datatypes
python-string-methods
python4everybody
python-tutorial-github
python4datascience
python-list-methods
python-tuple-methods
python-dictionary-methods
python-sets-methods
tutor-milaan9
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Dec 9, 2022
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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.
anonymous-functions
recursive-functions
math-functions
python-functions
builtin-functions
docstrings
python4beginner
built-in-functions
random-module
userdefined-functions
python-tutorial-notebook
python-tutor
lamda-functions
functions-python
python4everybody
python-tutorial-github
python4datascience
global-local-nonlocal
functional-arguments
tutor-milaan9
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Dec 9, 2022
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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.
python-tutorials
numpy
ipython-notebook
array-methods
numpy-tutorial
array-manipulations
python4beginner
numpy-exercises
numpy-arrays
array-indexing
numpy-matrix
python-tutorial-notebook
python-tutor
python4everybody
python-tutorial-github
python4datascience
numpy-exercise-solutions
array-math
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tutor-milaan9
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Dec 9, 2022
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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 dateti…
python-tutorials
datetime
ipython-notebook
strftime
current-date
current-time
python-tutorial
python4beginner
strptime
timstamp
python-tutorial-notebook
python-tutor
python-datetime
time-module
python4everybody
python-tutorial-github
python4datascience
datetime-module
python-sleep
tutor-milaan9
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Dec 9, 2022
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224
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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 …
python-tutorials
ipython
ipython-notebook
file-handling
exceptions
exception-handling
python4beginner
file-input-output
python-files
pythontutorial
python-tutorial-notebook
python-tutor
python4everybody
python-tutorial-github
python4datascience
file-exception
file-exception-handeling
file-directory
tutor-milaan9
userdefined-exceptions
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Dec 9, 2022
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221
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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
python-tutorials
ipython-notebook
jupyter-notebooks
python4beginner
control-statements
for-loop
while-loop
if-elif-else
if-statement
nested-if-else-statements
python-tutorial-notebook
if-else-statements
python4everybody
nested-for-loops
python-tutorial-github
python4datascience
python-flow-control
nested-while-loops
break-continue-pass
tutor-milaan9
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Aug 26, 2023
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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 …
python-tutorials
ipython-notebook
data-visualization
data-analysis
matplotlib
python4beginner
matplotlib-figures
python-matplotlib
matplotlib-tutorial
matplotlib-heatmap
matplotlib-pyplot
matplotlib-python
python-tutorial-notebook
python-tutor
python4everybody
python-tutorial-github
python4datascience
matplotlib-examples
matplotlib-exercises
tutor-milaan9
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Updated
Dec 9, 2022
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Jupyter Notebook
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217
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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 thr…
heatmap
data-visualization
seaborn
boxplot
violinplot
ipython-notebooks
facetgrid
python-visualization
scatterplot-visualization
barplots
seaborn-plots
lmplot
seaborn-tutorial
distplot
stripplots
python-seaborn
seaborn-image
python4everybody
python4datascience
tutor-milaan9
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Updated
Dec 9, 2022
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Jupyter Notebook
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211
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My Solutions to 120 commonly asked data science interview questions.
data-science
machine-learning
probability
statistical-inference
data-analysis
interview-questions
interview-preparation
python-jupyter-notebooks
product-metrics
python-tutorial-github
python4datascience
tutor-milaan9
predective-modeling
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Updated
Dec 9, 2022
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Jupyter Notebook
Star
195
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github
readme
profile
readme-badges
profile-page
readme-template
python4beginner
profile-template
python-tutorial-notebook
python-tutor
profile-readme
readme-card
readme-profile
readme-stats
python4everybody
python4datascience
tutor-milaan9
template-readme
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Updated
Apr 12, 2024
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Python
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191
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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
ipython-notebook
named-entity-recognition
bag-of-words
tf-idf
stopwords
tokenization
stemming
lemmatization
sentence-segmentation
termfrequency
partofspeech-tagger
vocabulary-matching
python4everybody
python4datascience
tutor-milaan9
inversedocumentfrequency
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Updated
Jul 4, 2022
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