Data Science FULL Course for Beginners in 27 HOURS - 2024 Edition
Data Science FULL Course for Beginners in 27 HOURS - 2024 Edition
🔴 To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: https://www.wscubetech.com/landing-pages/online-data-analytics-course.html?utm_source=YouTube&utm_medium=June2024_13&utm_campaign=RV
00:00:00 - Data Science Full Course Intro
00:01:31 Data Science Maths in-depth
1 Introduction to Statistics
• Population & Sample
• Descriptive vs Inferential Statistics
• Basic Statistical Measures
2 Measure of Central Tendency (Median, Mean, Mode)
• Measures of Variability
• Percentage, Percentiles, and Quartiles
3 Probability
• Probability Distribution
• Normal Distribution
• Advanced Statistical Concepts
4 Covariance and Correlation
• Central Limit Theorem
• Hypothesis Testing
05:52:03 - Machine Learning Complete
1 Introduction to Machine Learning (ML)
2 Roadmap to Learning Machine Learning
3 Types of Data and Variables in ML
2 Data Cleaning:
• Identifying and Handling Missing Values
• One Hot Encoding & Dummy Variables
• Label Encoding
• Ordinal Encoding
• Outlier Detection and Removal
• Feature Scaling (Standardization and Normalization)
• Handling Duplicate Data
• Data Type Transformation
5 Feature Selection Techniques:
• Backward Elimination (using mixed)
• Forward Elimination (using mixed)
09:33:17 - Supervised Learning in ML
1 Train Test Split in Dataset
2 Regression Analysis:
• Linear Regression Algorithm (Simple Linear)
• Multiple Linear Regression
• Polynomial Regression
3 Cost Function in Regression
4 R Squared Score & Adjusted R Squared in Regression Analysis
12:15:30 - Classification in ML
1 Classification
2 Logistic Regression:
• Binary Classification (Practical)
• Binary Classification with Multiple Inputs (Practical)
• Binary Classification with Polynomial Inputs (Practical)
• Multiclass Classification (Practical)
3 Confusion Matrix
4 Imbalanced Dataset Handling
5 Naive Bayes Algorithm
15:18:11 - Non-Linear Supervised Algorithm in ML
1 Non-Linear Supervised Algorithms:
• Decision Tree (Classification)
• Decision Tree (Regression)
• K-Nearest Neighbors (Classification)
2 Hyperparameter Tuning
3 Cross-Validation
4 Unsupervised Learning
19:01:23 - Clustering in ML
1 Clustering
2 K-means Clustering
3 Hierarchical Clustering
4 DBSCAN Clustering Algorithm
5 Silhouette Score
20:52:57 - Association in ML
1 Association
2 Association Rule Learning
3 Apriori Algorithm
4 Frequent Pattern Growth Algorithm
22:15:34 - Ensemble Learning in ML
1 Ensemble Learning
2 Max Voting, Averaging & Weighted Average Voting
• Practical Implementation for Regression
• Practical Implementation for Classification
3 Bagging (with Bagging meta-estimator and Random forest)
23:25:50 - Deep Learning & AI Complete
1 Deep Learning Overview:
• Introduction to Deep Learning
• Neurons, Neural Networks, and Types of Deep Learning Networks
3 Perceptrons:
• Single Layer Perceptron
• Multilayer Perceptron (Artificial Neural Networks)
3 Training Process:
• Forward Propagation and Backpropagation
• Activation Functions
• Loss Functions
• Optimizers
4 Practical Applications
WsCube Tech is a Vernacular Upskilling platform revolutionizing the way you learn and develop your career skills.🚀
WsCube Tech stands out as a leading EdTech platform, offering comprehensive education in Python, Machine Learning, and various Data Science skills. Our approach involves both online and classroom training, featuring hands-on projects delivered practically by seasoned industry experts.
With WsCube Tech, you'll gain hands-on skills that make you globally competitive. Our courses are designed to prepare over 100 million career aspirants for the 'Bharat' of the future. 😊
📌 𝗩𝗼𝘁𝗲 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝘃𝗶𝗱𝗲𝗼: https://bit.ly/share-topic-ideas
Watch Now our Trending App Development Playlist & Videos:
👉 Learn Python Programming in One Video - https://www.youtube.com/watch?v=sCOw5y1RQpY
👉 DSA Full Course - https://www.youtube.com/watch?v=hCrO_cR7kno
👉 20 Python Projects in One Video - https://www.youtube.com/watch?v=OKuiyX5k6zg
👉 Excel Full Course for Data Analysis - https://www.youtube.com/watch?v=SA_SDo-cqpg
For any queries, call us on: +91-7878985501
Connect with WsCube Tech on social media for the latest offers, promos, job vacancies, and much more:
😄 Facebook: https://www.facebook.com/wscubetech.india
🐦 Twitter: https://twitter.com/wscubetechindia
📱 Instagram: https://www.instagram.com/wscubetechindia/
👨🏻💻 LinkedIn: https://www.linkedin.com/company/wscubetechindia/
🔺 Youtube: http://bit.ly/wscubechannel
🌐 Website: http://wscubetech.com
--------------------------------------| Thanks |---------------------------
#datascience #datasciencecourse #datascientist
🔴 To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: https://www.wscubetech.com/landing-pages/online-data-analytics-course.html?utm_source=YouTube&utm_medium=June2024_13&utm_campaign=RV
00:00:00 - Data Science Full Course Intro
00:01:31 Data Science Maths in-depth
1 Introduction to Statistics
• Population & Sample
• Descriptive vs Inferential Statistics
• Basic Statistical Measures
2 Measure of Central Tendency (Median, Mean, Mode)
• Measures of Variability
• Percentage, Percentiles, and Quartiles
3 Probability
• Probability Distribution
• Normal Distribution
• Advanced Statistical Concepts
4 Covariance and Correlation
• Central Limit Theorem
• Hypothesis Testing
05:52:03 - Machine Learning Complete
1 Introduction to Machine Learning (ML)
2 Roadmap to Learning Machine Learning
3 Types of Data and Variables in ML
2 Data Cleaning:
• Identifying and Handling Missing Values
• One Hot Encoding & Dummy Variables
• Label Encoding
• Ordinal Encoding
• Outlier Detection and Removal
• Feature Scaling (Standardization and Normalization)
• Handling Duplicate Data
• Data Type Transformation
5 Feature Selection Techniques:
• Backward Elimination (using mixed)
• Forward Elimination (using mixed)
09:33:17 - Supervised Learning in ML
1 Train Test Split in Dataset
2 Regression Analysis:
• Linear Regression Algorithm (Simple Linear)
• Multiple Linear Regression
• Polynomial Regression
3 Cost Function in Regression
4 R Squared Score & Adjusted R Squared in Regression Analysis
12:15:30 - Classification in ML
1 Classification
2 Logistic Regression:
• Binary Classification (Practical)
• Binary Classification with Multiple Inputs (Practical)
• Binary Classification with Polynomial Inputs (Practical)
• Multiclass Classification (Practical)
3 Confusion Matrix
4 Imbalanced Dataset Handling
5 Naive Bayes Algorithm
15:18:11 - Non-Linear Supervised Algorithm in ML
1 Non-Linear Supervised Algorithms:
• Decision Tree (Classification)
• Decision Tree (Regression)
• K-Nearest Neighbors (Classification)
2 Hyperparameter Tuning
3 Cross-Validation
4 Unsupervised Learning
19:01:23 - Clustering in ML
1 Clustering
2 K-means Clustering
3 Hierarchical Clustering
4 DBSCAN Clustering Algorithm
5 Silhouette Score
20:52:57 - Association in ML
1 Association
2 Association Rule Learning
3 Apriori Algorithm
4 Frequent Pattern Growth Algorithm
22:15:34 - Ensemble Learning in ML
1 Ensemble Learning
2 Max Voting, Averaging & Weighted Average Voting
• Practical Implementation for Regression
• Practical Implementation for Classification
3 Bagging (with Bagging meta-estimator and Random forest)
23:25:50 - Deep Learning & AI Complete
1 Deep Learning Overview:
• Introduction to Deep Learning
• Neurons, Neural Networks, and Types of Deep Learning Networks
3 Perceptrons:
• Single Layer Perceptron
• Multilayer Perceptron (Artificial Neural Networks)
3 Training Process:
• Forward Propagation and Backpropagation
• Activation Functions
• Loss Functions
• Optimizers
4 Practical Applications
WsCube Tech is a Vernacular Upskilling platform revolutionizing the way you learn and develop your career skills.🚀
WsCube Tech stands out as a leading EdTech platform, offering comprehensive education in Python, Machine Learning, and various Data Science skills. Our approach involves both online and classroom training, featuring hands-on projects delivered practically by seasoned industry experts.
With WsCube Tech, you'll gain hands-on skills that make you globally competitive. Our courses are designed to prepare over 100 million career aspirants for the 'Bharat' of the future. 😊
📌 𝗩𝗼𝘁𝗲 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝘃𝗶𝗱𝗲𝗼: https://bit.ly/share-topic-ideas
Watch Now our Trending App Development Playlist & Videos:
👉 Learn Python Programming in One Video - https://www.youtube.com/watch?v=sCOw5y1RQpY
👉 DSA Full Course - https://www.youtube.com/watch?v=hCrO_cR7kno
👉 20 Python Projects in One Video - https://www.youtube.com/watch?v=OKuiyX5k6zg
👉 Excel Full Course for Data Analysis - https://www.youtube.com/watch?v=SA_SDo-cqpg
For any queries, call us on: +91-7878985501
Connect with WsCube Tech on social media for the latest offers, promos, job vacancies, and much more:
😄 Facebook: https://www.facebook.com/wscubetech.india
🐦 Twitter: https://twitter.com/wscubetechindia
📱 Instagram: https://www.instagram.com/wscubetechindia/
👨🏻💻 LinkedIn: https://www.linkedin.com/company/wscubetechindia/
🔺 Youtube: http://bit.ly/wscubechannel
🌐 Website: http://wscubetech.com
--------------------------------------| Thanks |---------------------------
#datascience #datasciencecourse #datascientist
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#data_science_for_beginners #data_scientist #data_science_training_for_beginners #data_science_full_course #learn_data_science #data_science #data_science_tutorial #data_science_course #data_science_course_2024 #data_science_full_course_in_hindi #data_science_crash_course #data_scientist_day_in_the_life #what_is_data_science #data_science_full_course_2024 #data_science_full_course_in_hindi_2024 #data_science_free_course #datascience_courseКомментарии:
УГАДАЙ КОНТЕЙНЕР ЗАБЕРИ ТАЧКУ Стилов Булкин Подписчик Юра Волков Илья KICKDOWN и другие
Жекич Дубровский
4 месяца назад
