Data Science
Deal
PYSPARK: End-to-End Developer Training (Spark with Python), You get to learn about how to use spark python i.e PySpark to perform data analysis.
Course Description
Pyspark is a big data ...
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SEABORN - Python Data Wrangling & Visualization with Seaborn, Learn attractive and informative statistical graphics and data visualization in Python Seaborn.
Course Description
The ultimate ...
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New Methods in Data Visualization with Python, Step-by-step training for 3D and advanced visualization in python and Matplotlib (with all the codes)
Course Description
Due to the importance of ...
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Essential Non Technical Skills of Effective Data Scientists, Boost your Data Science Career by developing these crucial Non Technical Skills & become a Successful Data Scientist.
Course ...
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Building Credit Card Fraud Detection with Machine Learning, Learn how to build credit card fraud detection model using Random Forest, Logistic Regression and Support Vector Machine
Course ...
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Beginner's Guide to Python Arrays, Learn about the power of Python Arrays and how they apply as Data Structures
Course Description
Arrays are a powerful means of storing variables of the same ...
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Neural Networks Made Easy, So easy, your dog could learn them!
Course Description
Wanna understand deep learning and neural networks so well, you could code them from scratch? In this course, ...
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Introduction to Natural Language Processing - NLP in 1 hour, For jobseekers and career change aspirants - including AI Fundamental Module - Learn from Industry Leaders
Course Description
...
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MINITAB - Predictive Modeling and Time Series Analysis, The main aim of this course is to learn how to use Minitab on real forecasting and time series analysis.
Course Description
The ...
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Master Gemini AI - Google Bard Prompt Engineering Bootcamp, Learn the power of Google's Gemini Models with Bard and get the latest skills in AI!
Course Description
Welcome to "Master Gemini AI - ...
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Cluster Analysis Unsupervised Machine Learning Course Bundle, Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering etc.
Course description
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