Curated Video
Build a Super Advanced Trading Bot on DYDX Hosted on AWS with Python - Construct Cointegration Functions
In this video, we will guide you through the process of constructing cointegration functions in Python. You will learn the theory and implementation of cointegration, a statistical technique used to identify pairs of assets that move...
Curated Video
Build a Super Advanced Trading Bot on DYDX Hosted on AWS with Python - Trading the Spread Based on Z-Score
In this video, we will delve into the technique of trading the spread based on the Z-Score. You will learn how to calculate and interpret the Z-Score, which serves as a key indicator for identifying potential entry and exit points in...
PBS
Should I Invest in Gold?
In times of uncertainty, gold can seem like an attractive option... but is it really a viable long-term investment?
Curated Video
Variance and Standard Deviation
A video entitled “Variance and Standard Deviation” which describes ways that variance and standard deviation are used as measures in the real world.
R Programming 101
Error Bars using R programming
If you're using R programming to do data visualization using ggplot2, then you'll love this video. Greg Martin walks you through the process of creating error bars on your plots and graphs. This can be used for bar charts, scatter plots,...
Curated Video
R Programming for Statistics and Data Science - Variance, standard deviation, and coefficient of variability
This video explains variance, standard deviation, and coefficient of variability. This clip is from the chapter "Exploratory Data Analysis" of the series "R Programming for Statistics and Data Science".This section explains exploratory...
Curated Video
R Programming for Statistics and Data Science - Test for the Mean - Population Variance Known
This video explains test for the mean - population variance known. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Curated Video
R Programming for Statistics and Data Science - Distributions
This video explains distributions. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Curated Video
R Programming for Statistics and Data Science - Introduction to Vectors
This video explains introduction to vectors. This clip is from the chapter "Vectors and Vector Operations" of the series "R Programming for Statistics and Data Science".This section explains vectors and vector operations.
Curated Video
Learn JMeter from Scratch on Live Applications - Performance Testin - Different Type of Listeners and Their Use in Gathering Performance Metrics
This video explains the different Listeners and their use in gathering performance metrics. This clip is from the chapter "How to Put Load and Analyze Performance Metrics?" of the series "Learn JMeter from Scratch on Live Applications -...
Curated Video
R Programming for Statistics and Data Science - Standard Error and Confidence Intervals
This video explains standard error and confidence intervals. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Curated Video
Julia for Data Science (Video 20)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
APMonitor
Classification and Regression: Concrete Strength
This case study is to determine the factors (inputs) that have correlation to the concrete compressive strength (output). 0:00 Introduction 2:35 Download Jupyter Notebook 4:00 Import Machine Learning Packages and Data 7:33 Part 1: Data...
APMonitor
Data Engineering Summary Statistics
Summary statistics give valuable insights as one of the first steps in data engineering after the data is gathered. Statistics help to assess data quality and diversity. Data discovery with statistics is a common first activity and there...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Linear Regression in Action
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
APMonitor
Logistic Regression from Scratch
Logistic regression is a machine learning algorithm for classification. In this algorithm, the probabilities describing the possible outcomes of a single trial are modeled using a logistic function. Logistic regression makes a binary...
APMonitor
Data Science 🐍 Statistical Analysis
Once data is read into Python, a first step is to analyze the data with summary statistics. This is especially true if the data set is large. Summary statistics include the count, mean, standard deviation, maximum, minimum, and quartile...
Curated Video
Predictive Analytics with TensorFlow 11.3: Developing a Stock Price Predictive Model
An emerging area for applying is the stock market trading, where a trader acts like a reinforcement agent since buying and selling particular stock changes the state of the trader by generating profit or loss, that is, reward. • Define...
Curated Video
Comparing Treatments Using Resampling: Determining the Effectiveness of New Salt Substitute and Fertilizer
In this video, the teacher explains how researchers can determine if there is a difference between two treatments using a resampling strategy. They use examples of comparing salt substitutes and fertilizers to demonstrate the process. By...
Curated Video
The Complete Excel Guide: Beginners to Advanced - Statistical Functions for Inference
The aim of this video is to explore statistical functions for inference. This clip is from the chapter "Excel 2019 Advanced: Statistical Functions" of the series "The Complete Excel Guide: Beginners to Advanced".In this section, we'll...
APMonitor
Data Visualization in Python
Data visualization and exploration is one of the first steps in machine learning after the data is gathered and statistically summarized. It is used to graphically represent data to qualitatively understand relationships and data...
Curated Video
Finding Percentages in a Normal Distribution Using Z Scores and Tables
In this lesson, you will learn how to use Z scores and statistics tables to find the percentage of a population that falls within a certain interval. This method is particularly useful when dealing with values that are not exactly 1-2 or...
Curated Video
Predicting Population Percentages Using a Graphing Calculator
In this video, students learn how to predict population percentages using a graphing calculator. The lesson focuses on the normal model and its application to data sets. It also covers the use of the empirical rule and explores different...