Data Science Core Concepts 2023
Data Science Core Concepts 2023, available at Free, has an average rating of 4.72, with 9 lectures, based on 9 reviews, and has 1531 subscribers.
You will learn about Learn the core concepts of data science Learn the working of ANN and CNN theory Understand the implementation of decision tree Hands on coding via NLP Create a Linear regression Create a logistic regression Know more about naïve bayes algorithm Hands-On Exercises, Projects, Assignements Lifetime Access This course is ideal for individuals who are Anybody with an interest in Data Science or Any student who want to enter the field of Data Science after college or Anyone who wants to pass their Data Science interviews easily or Anyone who wants to really dive deep into understanding the concepts and master it or Anyone interested in the field of Natural Language Processing or Any employee or worker looking for a career change or Any graduate who finds it difficult to find job in other IT field and will like to upskill in Data Science to secure a job or Any student who finds learning from classes difficult can easily understand he concept and master it It is particularly useful for Anybody with an interest in Data Science or Any student who want to enter the field of Data Science after college or Anyone who wants to pass their Data Science interviews easily or Anyone who wants to really dive deep into understanding the concepts and master it or Anyone interested in the field of Natural Language Processing or Any employee or worker looking for a career change or Any graduate who finds it difficult to find job in other IT field and will like to upskill in Data Science to secure a job or Any student who finds learning from classes difficult can easily understand he concept and master it.
Enroll now: Data Science Core Concepts 2023
Summary
Title: Data Science Core Concepts 2023
Price: Free
Average Rating: 4.72
Number of Lectures: 9
Number of Published Lectures: 9
Number of Curriculum Items: 9
Number of Published Curriculum Objects: 9
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Learn the core concepts of data science
- Learn the working of ANN and CNN theory
- Understand the implementation of decision tree
- Hands on coding via NLP
- Create a Linear regression
- Create a logistic regression
- Know more about naïve bayes algorithm
- Hands-On Exercises, Projects, Assignements
- Lifetime Access
Who Should Attend
- Anybody with an interest in Data Science
- Any student who want to enter the field of Data Science after college
- Anyone who wants to pass their Data Science interviews easily
- Anyone who wants to really dive deep into understanding the concepts and master it
- Anyone interested in the field of Natural Language Processing
- Any employee or worker looking for a career change
- Any graduate who finds it difficult to find job in other IT field and will like to upskill in Data Science to secure a job
- Any student who finds learning from classes difficult can easily understand he concept and master it
Target Audiences
- Anybody with an interest in Data Science
- Any student who want to enter the field of Data Science after college
- Anyone who wants to pass their Data Science interviews easily
- Anyone who wants to really dive deep into understanding the concepts and master it
- Anyone interested in the field of Natural Language Processing
- Any employee or worker looking for a career change
- Any graduate who finds it difficult to find job in other IT field and will like to upskill in Data Science to secure a job
- Any student who finds learning from classes difficult can easily understand he concept and master it
Embark on an exhilarating journey into the world of Data Science with us! This transformative course is your gateway to mastering the intricacies of Data Science, setting the stage for a rewarding exploration ahead.
Our comprehensive curriculum delves deep into the foundational concepts that underpin the Data Science voyage. As you progress through this course, you will uncover the following key areas:
– Supervised Learning: Develop a profound understanding of guided learning techniques, essential for predictive modeling.
– Recent Learning Techniques: Stay at the forefront of learning methodologies, exploring the very latest advancements in the field.
– Ensemble Method: Discover the remarkable synergy of ensemble algorithms, where the collective power of models prevails.
– Implementation of NLP: Immerse yourself in the fascinating realm of Natural Language Processing, unraveling the complexities of human language for machines.
Committed to excellence, we continuously expand our curriculum to meet the dynamic demands of our students. Your learning experience remains current, relevant, and adaptive.
Crafted by dedicated educators and collaborative explorers, this course meticulously breaks down complex concepts, accommodating individuals from diverse backgrounds and experience levels. Our mission is to ensure that anyone, regardless of their starting point, can confidently embark on this educational journey.
Tailored for both aspiring Data Scientists and seasoned professionals, the course caters to those striving to become adept Machine Learning Engineers and proficient AI specialists.
Join an ever-growing community of enthusiastic students and forward-thinking companies who have not only derived immense benefits from this course but have also developed genuine affection for its content.
Your path to knowledge and success begins here. Seize the opportunity to learn, grow, and thrive!
Course Curriculum
Chapter 1: Supervised Learning
Lecture 1: Linear Regressions
Lecture 2: Linear regressions cont'd
Lecture 3: Logistic Regression
Lecture 4: KNN
Lecture 5: Naive bayes
Chapter 2: Recent Learning Techniques
Lecture 1: ANN theory
Lecture 2: CNN theory
Chapter 3: Ensemble Method
Lecture 1: Ensemble
Lecture 2: Access the rest of the videos
Instructors
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Python Only Geeks
Instructor at Udemy
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 7 votes
Frequently Asked Questions
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