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Data Science Algorithms With Examples | Data Science Tutorial For Beginners | Simplilearn

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Data Science techniques have become reasonably popular to solve business problems. This video will help you learn some of the essential data science algorithms used by data scientists to work on complex tasks. You will implement these algorithms using Python and R. These algorithms use supervised and unsupervised learning methods to train models.

Here are the topics that will be covered in this video:
00:00:00 Logistic Regression
00:05:50 Types of Regression
00:19:28 Decision Tree
01:03:19 What is Random forest
01:28:05 Clustering Algorithm
01:43:39 Divisive Clustering
02:09:46 Support Vector Machine in R
02:27:55 K-Nearest Neighbors Algorithm
03:36:38 K-Means Clustering
04:25:28 Time-series Analysis

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This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

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Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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