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Data Science Core Concepts 2023
Rating: 4.5 out of 5(30 ratings)
2,405 students

Data Science Core Concepts 2023

Data Science Core Concepts
Created byPython Only Geeks
Last updated 9/2023
English
English [Auto],

What you'll 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

Explore related topics

Course content

3 sections • 9 lectures • 1h 49m total length

  • Linear Regressions16:58

    Learn how linear regression uses dependent and independent variables to predict outcomes with a best fit line, and how mean squared error guides model accuracy, avoiding underfitting and overfitting.

  • Linear regressions cont'd22:41

    Develop a linear regression model for house price prediction by cleaning data with pandas, performing EDA and correlation-based feature selection, and evaluating with train_test_split, mean absolute error, and R2 score.

  • Logistic Regression10:10

    Explore logistic regression as a classification method, using the sigmoid function to convert predictions into yes or no with a 0.5 threshold, illustrated by iris and medical datasets.

  • KNN11:48

    Discover how the k nearest neighbor algorithm classifies new data by measuring distance to neighbors, selecting an odd k, and voting by majority with Euclidean distance.

  • Naive bayes11:16

    Explore the naive Bayes classifier, based on Bayes theorem, and learn to compute posterior probabilities from a frequency table for supervised classification tasks in data science.

Requirements

  • No prior knowledge needed. You will learn everything you need to know

Description

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!

Who this course is for:

  • 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

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