Search result for Data structures and algorithms course Online Courses & Certifications
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Python easy way
by Abhay Gadkari- 0.0
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7 hours on-demand video
Basics to introductory Data Science Python Easyway course covers each topic with supported working programs. Data science part includes dataframe and its functions and one case study, Numpy, Visualization. Program development for Input and output, Arithmetic operations and built-in types . Data structures Logging and Exception handling Introduction to data science...
$12.99
Python Machine Learning : Learn Handson™
by Handson ™- 4.7
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7.5 hours on-demand video
The topics we will be covering in this course are: Python libraries for data manipulation and visualization such as numpy, matplotlib and pandas. Machine Learning, Deep Learning, AI and Data Science Basic Concepts Python package “Numpy” for numerical computation, Python package “Matplotlib” for visualization and plotting, Python package “pandas” for data analysis...
$12.99
Data Structures and Software Design
by Chris Murphy- 0.0
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4 Weeks
In this course, you will learn about important core data structures such as arrays, lists, stacks, queues, sets, maps, trees, and graphs, and learn how to evaluate them and reason about their behavior and efficiency. Efficient means of storing and retrieving data in a Java program Use of the inbuilt Java data structures...
$149
Mastering Unsupervised Learning with Python
by Packt Publishing- 3.6
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4 hours on-demand video
In this video course you will understand the assumptions, advantages, and disadvantages of various popular clustering algorithms, and then learn how to apply them to different data sets for analysis. He holds master’s degrees from Harvard University and Free University Berlin, a CFA charter, and has been teaching data science and statistics for several years....
$12.99
A Beginner's Guide to Machine Learning (in Python)
by Curiosity for Data Science- 4.7
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3.5 hours on-demand video
You will understand what Big Data is and what Data Science and Data Analytics is. You will learn algorithms such as Linear Regression, Logistic Regression, Support Vector Machine, K-Nearest Neighbor, Decision Trees, and Neural Networks. Preprocessing data will be taught and you will understand how to clean your data, transform it, how to handle categorical features, and how to handle unbalanced data....
$11.99
Low Level System Design [An interview perspective]
by Abhishek Ghosh- 3.9
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6.5 hours on-demand video
Software Engineering interviews focus on the coding and software designing skills in an interview. The Algorithms round check the raw coding skills of a candidate, by the application of Data Structures and Algorithms mostly practiced in school, while the Design round tests the System design skills, which can be High Level Design [HLD] or Low Level Design [LLD]....
$11.99
Introduction to Machine Learning in R
by Holczer Balazs- 4
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8 hours on-demand video
This course is about the fundamental concepts of machine learning, facusing on neural networks. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. linear regression and implementation logistic regression and implementation k-nearest neighbor classifier and implementation naive bayes classifier and implementation...
$12.99
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Machine Learning 2020: Complete Maths for Machine Learning
by Jitesh Khurkhuriya- 4.1
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2.5 hours on-demand video
That simply means, you have understood the importance of mathematics to truly understand and learn Data Science and Machine Learning. We will get you upto speed in the mathematics required for Machine Learning and Data Science. We will also see, how the vectors and matrices together can be used for various data transformations in Machine Learning and Data Science....
$11.99
Learn By Example : Apache Flink
by Loony Corn- 3.5
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3 hours on-demand video
30 solved examples on Stream and Batch processing This course has 30 Solved Examples on building Flink Applications for both Streaming and Batch Processing 1) Transformations in the DataStream API : filter, map, flatMap and reduce 2) Operations on multiple streams : union, cogroup, connect, comap, join and iterate 6) Applying ML algorithms on the fly using Flink-ML 7) Representing Graph data using Gelly...
$12.99
Social and Economic Networks: Models and Analysis
by Matthew O. Jackson- 4.8
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Approx. 30 hours to complete
Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? The course begins with some empirical background on social and economic networks, and an overview of concepts used to describe and measure networks....
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