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This repository is dedicated to helping beginners understand and master the fundamentals of time series analysis, a critical field in data science and statistics. Whether you're a student, data ent…
1 UpdatedOct 27, 2023 -
There are many libraries available in Python for EDA, including pandas, numpy, matplotlib, seaborn, and plotly. Create this depository to keep up to date with the latest libraries and techniques.
UpdatedMar 4, 2023 -
The repository provides a comprehensive guide to the theory, implementation, and evaluation of recommendation systems, as well as practical examples and case studies to help readers understand how …
UpdatedFeb 27, 2023 -
Deploying a machine learning model is a crucial step in creating a production-level application. By following these best practices, you can ensure that your machine learning model is deployed succe…
UpdatedFeb 27, 2023 -
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AmazonSageMakerCourse Public
Forked from ChandraLingam/AmazonSageMakerCourseAWS Machine Learning Specialty Course
Jupyter Notebook UpdatedDec 13, 2021 -
This repository will provide an overview and working knowledge of Natural Language Processing (NLP), using Python’s Natural Language Toolkit (NLTK) library and with Keras.
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Learn Deep Learning from this repository which help you to understand clearly about Deep Neural Network, SPL, MPL Algorithm, CNN, RNN, and RBM etc.
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R-for-Beginners Public
Learn R in simple and easy steps starting from basic to advanced concepts with examples. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough…
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Python-for-Data-Scientists Public
This repository will offer several learning strategies and advanced study material along with the interesting use case and programs that will help jump start your journey of becoming a data scienti…
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R-for-Data-Scientists Public
Learn the fundamentals of R programming, from reading and writing data to customizing visualizations and performing predictive analysis on data.
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Machine-Learning-with-Python Public
Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start! This repository serves as an excellent introduction to implementing machine…
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Python-for-Beginners Public
Find Real Python’s Beginners Roadmap for Learning Python! We also offer a beginner’s level user guide, which uses interesting examples to help you learn programming and web development. Happy Coding!
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Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that are very important to Data science domain and its application…
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Scala-Essentials Public
Essential Scala depository is aimed at experienced developers at very beginning level.
Scala UpdatedAug 14, 2019 -
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pytorch Public
Forked from pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration
C++ Other UpdatedJul 31, 2019 -
SQL-Essentials Public
This repository helps you get started learning SQL as a beginner. My goal is to help you understand SQL, so you can take your database skills to the next level!
UpdatedJul 30, 2019 -
This Spark MLlib repository will introduce you to Apache Spark's scalable machine learning library consisting of common learning algorithms and utilities, including classification, regression, clus…
UpdatedJul 23, 2019 -
Machine-Learning-with-R Public
This repository serves as an excellent introduction to implementing machine learning algorithms with R in depth such as linear and logistic regression, decision tree, random forest, SVM, Naive Baye…
data-science machine-learning machine-learning-algorithms supervised-learning recommendation-engine machine-learning-library machinelearning2 UpdatedJul 18, 2019 -
Data-Analysis-using-R Public
R is a powerful language used widely for data analysis and statistical computing. Learn how to investigate and summarize data sets using R and eventually create your own analysis.
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Data-Analysis-using-Python Public
Learn to analyze data with Python. Here you will learn, Import data sets, Clean and prepare data for analysis, Manipulate pandas DataFrame, Summarize data, Build machine learning models using sciki…
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Learn the core statistical concepts, followed by application of these concepts using R Studio with the a nice combination of theory and practice. Learn key statistical concepts and techniques like …