Search result for Data structures and algorithms Online Courses & Certifications
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Data Structure with implementation made easy
by Anand Mahajan- 4.8
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12.5 hours on-demand video
This course covers all important and essential data structures starting from arrays to Stacks, Queues, Linked lists (Linear, Circular, Doubly) , trees and graphs. Many people find the data structure to be a difficult subject which is exactly not....
$12.99
Machine Learning and Data Mining with Weka - For Beginners
by Shadi Oweda- 4.2
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2 hours on-demand video
This introductory course will help make your machine learning journey easy and pleasant , you will be learning by using the powerful Weka open source machine learning software, developed in New Zealand by the University of Waikato. You will learn complex algorithm behaviors in a straightforward and uncomplicated manner. Image, text & document classification & Data Visualization...
$11.99
Data Science for Marketing Analytics
by Packt Publishing- 4.3
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4.5 hours on-demand video
Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. Pranshu Bhatnagar works as a Data Scientist in the telematics, insurance and mobile software space. Skilled in Python, R, Machine Learning, Predictive Analytics, and Data Science....
$11.99
Basics Data Science with Numpy, Pandas and Matplotlib
by Akbar Khan- 3.3
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2.5 hours on-demand video
Welcome to my course Basics Data Science with Numpy, Pandas, and Matplotlib In this course, we will learn the basics of Python Data Structures and the most important Data Science libraries like NumPy and Pandas with step by step examples! Then we will proceed with basic data structures in python like Lists tuples and set....
$11.99
Decision Trees for Machine Learning From Scratch
by Sefik Ilkin Serengil- 3.7
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3 hours on-demand video
This course covers both fundamentals of decision tree algorithms such as CHAID, ID3, C4. 5, CART, Regression Trees and its hands-on practical applications. Besides, we will mention some bagging and boosting methods such as Random Forest or Gradient Boosting to increase decision tree accuracy. This course appeals to ones who interested in Machine Learning, Data Science and Data Mining....
$11.99
Artificial Intelligence: Advanced Machine Learning
by Eduero Academy, Inc.- 3.5
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3.5 hours on-demand video
Data science and machine learning are some of the top buzzwords in the technical world today. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. You will build systems that classify documents, recognize images, detect ads, and more....
$12.99
Beginner to Advanced Guide on Machine Learning with R Tool
by Elementary Learners- 2.7
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2 hours on-demand video
This course is intended for both freshers and experienced hoping to make the bounce to Data Science. R is a statistical programming language which provides tools to analyze data and for creating high-level graphics. Students, at the end of this course, will be technically sound in the basics and the advanced concepts of Machine Learning....
$12.99
(NEW) Python Programming Course: The Complete Bootcamp
by Python Camp- 4.3
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5.5 hours on-demand video
Learn and understand the fundamentals of Python and how to apply it to data science, programming, and web development. You will learn to create complex data structures, such as graphs, stacks, and queues. And this course fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software....
$9.99
Machine Learning Rapid Prototyping with IBM Watson Studio
by Mark J Grover , Meredith Mante- 4.6
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Approx. 9 hours to complete
An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. Automated Data Preparation and Model Selection...
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
-Use a variety of error metrics to compare and select the classification model that best suits your data To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
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