Data Science
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Updated
Jul 10, 2023 - Jupyter Notebook
#
handling-missing-value
Here are 32 public repositories matching this topic...
Embark on a transformative "100 Days of Machine Learning" journey. This curated repository guides enthusiasts through a hands-on approach, covering fundamental ML concepts, algorithms, and applications. Each day, engage in theoretical insights, practical coding exercises, and real-world projects. Balance theory with hands-on experience.
reinforcement-learning
exploratory-data-analysis
models
machine-learning-algorithms
regression
data-acquisition
data-visualization
feature-extraction
supervised-learning
classification
feature-engineering
unsupervised-learning
evaluation-metrics
clustering-algorithm
time-series-analysis
handling-missing-value
handling-outlier
business-problem
data-preprocessing-and-cleaning
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Updated
Jun 28, 2024 - Jupyter Notebook
An analysis of house prices in Beijing
time-series
time-series-analysis
house-price-prediction
price-prediction
time-series-forecasting
house-prices
price-analysis
house-price-analysis
handling-missing-value
handling-outlier
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Updated
Apr 24, 2024 - Jupyter Notebook
Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
data-science
data-transformation
missing-values
log-transformation
label-encoding
minmaxscaling
handling-missing-value
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Updated
Sep 20, 2022 - Jupyter Notebook
Exploratory Data Analysis and Data Preprocessing on Marketing dataset. Domain - Retail Marketing
python
pandas
data-visualization
seaborn
data-analysis
data-cleaning
bivariate-analysis
univariate-analysis
handling-missing-value
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Updated
May 11, 2023 - Jupyter Notebook
Welcome to the FIFA Dataset Data Cleaning and Transformation project! This initiative focuses on refining and enhancing the FIFA dataset to ensure it is well-prepared for in-depth analysis. The project involves a comprehensive data cleaning process and transformation of key features to improve data quality and usability.
python
numpy
data-transformation
pandas
feature-engineering
data-cleaning
fifa
one-hot-encoding
fifa-dataset
clean-dataset
handling-missing-value
data-cleaning-and-preprocessing
handling-duplicate-values
prepare-for-analysis
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Nov 22, 2023 - Jupyter Notebook
The project provides Four Tasks which is given by Cognifyz Technology.
numpy
machine-learning-algorithms
regression
pandas
feature-selection
classification
recommendation-system
geographical-analysis
preprocessing-data
handling-missing-value
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Updated
Feb 10, 2024 - Jupyter Notebook
This is the curated pile of notebooks/small projects which contains linear and non-linear regression models.
linear-regression
eda
data-visualization
feature-selection
scaling
feature-engineering
pearson-correlation
datacleansing
nonlinear-regression
randomforestregressor
handling-missing-value
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Updated
Apr 4, 2021 - Jupyter Notebook
End-to-end movie recommendation system using ML, data analysis, NLTK, CountVectorizer, cosine similarity, and TMDB API. Deployed with Streamlit.
python
api
data-science
machine-learning-algorithms
web-scraping
cosine-similarity
data-cleaning
dataanalysis
handling-missing-value
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Updated
Feb 16, 2024 - Jupyter Notebook
Techniques to Explore the Data
outliers-detection
handling-missing-value
dealing-with-categorical-feature
different-types-of-scaling
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Dec 1, 2020 - Jupyter Notebook
This project provides the data based on classification to check if the patient is covid +ve or -ve.
numpy
pandas
classification
logistic-regression
decision-tree-classifier
pre-processing
label-encoding
classification-models
handling-missing-value
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Updated
Feb 16, 2024 - Jupyter Notebook
python
exploratory-data-analysis
seaborn
matplotlib
numpy-library
pandas-library
feature-encoding
handling-missing-value
handling-outlier
handling-duplicate-values
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Updated
Jan 10, 2024 - Jupyter Notebook
This repository contains pre-requisite notebooks of Data Cleaning work for my internship as a Machine Learning Application Developer at Technocolabs.
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Updated
Dec 11, 2021 - Jupyter Notebook
Exploratory Data Analysis - Using Python to find correlation between features
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Updated
Nov 5, 2023 - Jupyter Notebook
In this exercise, I'll apply Data cleaning using Handling missing values of San Francisco building permit.
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Updated
Oct 13, 2022 - Jupyter Notebook
This repository contains data analysis programs in the Python programming language.
visualization
python
neural-network
histogram
naive-bayes-classifier
data-analysis
principal-component-analysis
apriori-algorithm
dbscan-clustering
id3-algorithm
k-means-clustering
comparation
association-rule-mining
fp-growth-algorithm
data-pre
j48-classifier
handling-missing-value
birch-clustering
students-acedemic-dataset
description-of-code
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Updated
Dec 28, 2023 - Jupyter Notebook
In this notebook, i show a examples to implement imputation methods for handling missing values.
python
data-science
mean
imputation
missing-data
median
missing-values
knn-algorithm
imputation-methods
filling-null-values
handling-missing-value
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Updated
Jun 23, 2021 - Jupyter Notebook
An comprehensive data analysis of a particular market and its customers.
customer-retention
market-segmentation
customer-segmentation
retention-rate
target-marketing
retention-analysis
preprocessing-data
handling-missing-value
customer-retention-analysis
handling-outlier
customer-value-optimization
customer-retention-strategies
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Updated
Mar 4, 2024 - Jupyter Notebook
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