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→ parulnith
11 open source projects by parulnith
[ Open user page on Github ]
1.
10 Simple Hacks To Speed Up Your Data Analysis In Python
Some useful Tips and Tricks to speed up the data analysis process in Python.
✭ 45
data-science
pandas
magic
pandas-dataframe
pdb
2.
Building A Simple Chatbot In Python Using Nltk
Building a Simple Chatbot from Scratch in Python (using NLTK)
✭ 286
python
jupyter-notebook
machine-learning
nlp
artificial-intelligence
chatbot
article
3.
Face-Detection-in-Python-using-OpenCV
Face Detection with Python using OpenCV
✭ 123
Jupyter Notebook
python
machine-learning
object-detection
opencv-python
facedetection
4.
Image-Processing-in-Python
This repository contains the links to the article that I wrote on Medium pertaining to Image processing.
✭ 23
Jupyter Notebook
image
image-processing
segmentation
face-detection
opencv-python
skimage
5.
An-Overview-of-Python-Datatable-package
Python library for efficient multi-threaded data processing, with the support for out-of-memory datasets.
✭ 23
Jupyter Notebook
datatable
6.
Animations-with-Matplotlib
Using the matplotlib library to create some interesting animations.
✭ 42
Jupyter Notebook
visualisation
matplotlib
funcanimation
7.
Satellite-Imagery-Analysis-with-Python
Getting acquainted with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.
✭ 44
Jupyter Notebook
8.
Data-Visualisation-libraries
A Repository consisting of various visualisation libraries and tools
✭ 61
HTML
Jupyter Notebook
tutorial
sql
data-visualisation
tableau
powerbi
rawgraphs
palladio
datawrapper
9.
Data-Science-Articles
A collection of my blogs on Data Science and Machine learning.
✭ 66
Jupyter Notebook
HTML
data-science
machine-learning
deep-learning
data-visualization
kaggle
artificial-intelligence
data-analysis
matplotlib
10.
What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
No description, website, or topics provided.
✭ 35
11.
Elements-of-Functional-Programming-in-Python
Learn how to how to use the lambda, map, filter and reduce functions in Python to transform data structures.
✭ 14
Jupyter Notebook
map
list
functional-programming
filter
lambda-functions
reduce
listcomprehensions
1-11
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11
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