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Advanced Predictive Techniques with Scikit-Learn& TensorFlow
by Packt Publishing- 4.1
3.5 hours on-demand video
Alvaro Fuentes is a Data Scientist with an M. He founded Quant Company to provide consulting and training services in Data Science topics and has been a consultant for many projects in fields such as; Business, Education, Psychology and Mass Media....
$12.99
The Data Analyst Course: Complete Data Analyst Bootcamp 2021
by 365 Careers- 4.5
20.5 hours on-demand video
Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization It is enough to be very skilled at just one, and we’ve naturally chosen Python which has established itself as the number one language for data analysis and data science (thanks to its rich libraries and versatility)....
$18.99
Practical Time Series Analysis
by Tural Sadigov , William Thistleton- 4.6
Approx. 26 hours to complete
Many of us are "accidental" data analysts. In practical Time Series Analysis we look at data sets that represent sequential information, such as stock prices, annual rainfall, sunspot activity, the price of agricultural products, and more. WEEK 1: Basic Statistics Review of Basic Statistics I - Simple Linear Regression SARIMA fitting: Johnson & Johnson...
Basic Statistics
by Matthijs Rooduijn , Emiel van Loon- 4.6
Approx. 27 hours to complete
Understanding statistics is essential to understand research in the social and behavioral sciences. The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in....
Regression Modeling Fundamentals
by Jordan Bakerman- 4.8
Approx. 12 hours to complete
Demo: Exploring Ames Housing Data Follow These Instructions to Set Up Data for This Course Demo: Scoring Data Using PROC PLM Categorical Data Analysis Practice: Using PROC LOGISTIC to Perform a Binary Logistic Regression Analysis Practice: Using PROC LOGISTIC to Perform a Multiple Logistic Regression Analysis with Categorical Variables Categorical Data Analysis...
Linear Regression and Modeling
by Mine Çetinkaya-Rundel- 4.7
Approx. 10 hours to complete
These models allow you to assess the relationship between variables in a data set and a continuous response variable. Introduction to Statistics with R About Statistics with R Specialization Week 1 & 2 Lab Instructions (RStudio) Week 1 & 2 Lab Instructions (RStudio Cloud) Week 1 & 2 Lab...
Statistics with SAS
by Jordan Bakerman- 4.8
Approx. 20 hours to complete
Course Overview and Data Setup Demo: Exploring Ames Housing Data Population Parameters and Sample Statistics Parameters and Statistics Demo: Performing Post-Processing Analysis Using PROC PLM Demo: Scoring Data Using PROC PLM Partitioning a Data Set Using PROC GLMSELECT Categorical Data Analysis Practice: Using PROC LOGISTIC to Perform a Binary Logistic Regression Analysis Categorical Data Analysis...
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Natural Language Processing (NLP) with NLTK and Scikit-learn
by Packt Publishing- 3.8
4 hours on-demand video
Natural Language Processing (NLP) is the most interesting subfield of data science. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. The company lives by its motto: Data -> Intelligence -> Action....
$12.99
Complete Python Machine Learning & Data Science for Dummies
by Abhilash Nelson- 4.1
10.5 hours on-demand video
Python is a great tool for the development of programs which perform data analysis and prediction. It has tons of classes and features which perform the complex mathematical analysis and give solutions in simple one or two lines of code so that we don't have to be a statistic genius or mathematical Nerd to learn data science and machine learning....
$11.99
Machine Learning with Python, scikit-learn and TensorFlow
by Packt Publishing- 3.2
9.5 hours on-demand video
Machine learning brings together computer science and statistics to build smart, efficient models. In this course, you’ll learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation....
$12.99