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Category: Tutorial
Electronic circuits Analysis by PSpice
3h | Video: .MP4, 1280x720 | Audio: AAC, 44.1KHz, 2ch | 308 MB
Genre: eLearning | Language: English
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Category: Tutorial

Technical Analysis Fundamentals Reading Stock Charts

Technical Analysis Fundamentals: Reading Stock Charts
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 33 | 558 MB
Genre: eLearning | Language: English

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Category: Tutorial

Data Mining Through Cluster Analysis Using Python

Data Mining Through Cluster Analysis Using Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 16 | 122 MB
Genre: eLearning | Language: English

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Category: Tutorial
Operational Support and Analysis for ITILŪ
Operational Support and Analysis for ITILŪ
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch | Duration: 3h 57m | 452 MB
Genre: eLearning | Language: English | Level: Intermediate | + Exercise Files

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Category: E-Book
Semantic Similarity from Natural Language and Ontology Analysis

Sebastien Harispe, Sylvie Ranwez, "Semantic Similarity from Natural Language and Ontology Analysis"
2015 | ISBN-10: 1627054464 | 254 pages | PDF | 5 MB
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Category: Tutorial
Mastering Data Analysis With Python Pandas & MatDescriptionlib 2018


Mastering Data Analysis With Python Pandas & MatDescriptionlib - 2018
MP4 | Video: 1152x720 | 48 kbps | 44 KHz | Duration: 4.5 Hours | Lec: 9 | 546 MB
Genre: eLearning | Language: English | Skill level: All Levels
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Category: Tutorial
R Programming Mastering R for data analysis
Programming: Mastering R for data analysis
2.5h | Video: .MP4, 1280x720 | Audio: AAC, 44.1KHz, 2ch | 1.19 GB
Genre: eLearning | Language: English

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Category: Tutorial
Image Analysis and Text Classification using CNNs in PyTorch
Image Analysis and Text Classification using CNNs in PyTorch
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz, 1 Ch | Duration: 55 Minutes | 1.28 GB
Genre: eLearning | Language: English

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Category: Tutorial
Using Jupyter Notebooks for Data Science Analysis in Python LiveLessons
Using Jupyter Notebooks for Data Science Analysis in Python LiveLessons
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | Duration: 2h 10m | 4.44 GB
Genre: eLearning | Language: English

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Category: Tutorial
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Packt - Practical time series analysis video
English | Size: 610.86 MB
Category: Tutorial

Time Series Analysis allows us to analyze data that is generated over a period of time and has sequential interdependencies between the observations. This video describes special mathematical tricks and techniques that are geared towards exploring the internal structures of time series data and generating powerful descriptive and predictive insights. Also, the tutorial is full of real-life time series examples and their analyses using cutting-edge solutions developed in Python. The video starts with a descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality, and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, we shift the focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented to develop accurate forecasting models for complex time series. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python.
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