Thinking Datascience
Thinking Datascience
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Decision Tree & Random Forest | Machine Learning | Classification | Intuition
In this video, we will explore the concept of decision tree in machine learning. Decision trees are a powerful and widely used machine learning algorithm that can be used for both classification and regression problems. We will walk through the basics of decision trees, how they work, and how to build them. We will also discuss some of the key concepts related to decision tree pruning, overfitting, and feature selection. By the end of this video, you will have a solid understanding of decision trees and how they can be used to solve real-world problems. Don't miss out on this informative and engaging tutorial!
มุมมอง: 110

วีดีโอ

K-Nearest Neighbors | KNN | Machine Learning | Classification | Intuition
มุมมอง 448 หลายเดือนก่อน
In this video, we will be discussing the intuition behind the K-nearest neighbors (KNN) classification model, a popular machine learning algorithm used in various applications. We'll cover how KNN works, its basic concepts, and how it makes predictions based on the distance between data points. You'll gain a deeper understanding of the KNN algorithm's strengths and limitations, and how it can b...
Confusion Matrix | Machine Learning | Binary Classification | Evaluation Matrix
มุมมอง 1688 หลายเดือนก่อน
In this video, we will explain the concept of a confusion matrix, which is a table used to evaluate the performance of a classification model. We will discuss the key metrics that can be derived from a confusion matrix, including accuracy, precision, F1-score, and recall, and show you how to calculate each of these metrics. Understanding these metrics is crucial for assessing the effectiveness ...
Logistic Regression | Machine Learning | Classification | Intuition
มุมมอง 2058 หลายเดือนก่อน
In this video, we dive into the world of machine learning and explore the concept of logistic regression. Logistic regression is a popular method used in data analysis and prediction modeling to estimate the probability of a certain event occurring. It is a powerful tool that allows us to analyze a wide range of data and make informed decisions based on the results. In this tutorial, we provide...
STATISTICS | MEASUREMENT OF DISPERSION | VARIANCE | STANDARD DEVIATION
มุมมอง 368 หลายเดือนก่อน
In this video, we'll be exploring the concepts of variance and standard deviation. These statistical measures are widely used in many fields, from finance to engineering to medicine. We'll start by defining what variance and standard deviation are, and then we'll dive into why they're important and how to calculate them. We'll also discuss the differences between population and sample variance ...
STATISTICS | MEASUREMENT OF DISPERSION | RANGE | INTERQUARTILE RANGE
มุมมอง 438 หลายเดือนก่อน
In this video, we will dive into the concepts of range and interquartile range in statistics. The range is a simple concept that measures the difference between the highest and lowest values in a set of data, while the interquartile range is a more refined measure of the spread of data that takes into account the middle 50% of the data. We will discuss the formulas for calculating range and int...
Least Square Method | Machine Learning | Regression | Intuition
มุมมอง 2469 หลายเดือนก่อน
In this video, we’ll explore the least squares method, a powerful mathematical technique used to find the best possible fit for a set of data points. We’ll cover the intuition behind the method, how it works, and how it can be used to solve real-world problems. Whether you’re a student, a researcher, or just someone interested in learning more about data analysis, this video is a great resource...
Simple Linear Regression | Machine Learning | Regression | Intuition
มุมมอง 2039 หลายเดือนก่อน
In this video, we dive into the world of Simple Linear Regression and explore the intuition behind it. We start by discussing what regression is and how it can be used to understand relationships between variables. Then we focus on Simple Linear Regression, which involves just two variables - a dependent variable and an independent variable. We explain how to calculate the line of best fit usin...
Grouping Data by All Rows | MICROSOFT POWER QUERY
มุมมอง 3979 หลายเดือนก่อน
In this video, we will explore how to group data on all rows in your dataset. Grouping data can be extremely useful when working with large datasets, as it enables you to quickly and easily summarize your data and gain insights into underlying patterns and trends. With these tools, you can easily transform raw data into meaningful insights that can inform business decisions and drive growth. So...
Numbers in Python | Learn Python
มุมมอง 399 หลายเดือนก่อน
In this video, we will cover the basics of numbers in Python, including integers and floating-point numbers; we will also explore various mathematical operations and functions, such as addition, subtraction, multiplication, division, and more. By the end of this video, you'll have a solid understanding of how numbers work in Python and be able to apply this knowledge to your own coding projects...
Grouping Data on Multiple Levels | MICROSOFT POWER QUERY
มุมมอง 8869 หลายเดือนก่อน
In this tutorial, we will explore how to group data on multiple levels in Power Query. Grouping data can be a powerful tool when you need to aggregate or summarize data based on different categories or levels. With Power Query, you can group data based on one or more columns, and even create custom grouping rules. We will walk through the steps of grouping data in Power Query and show you some ...
Buckets_Conditional_Columns | MICROSOFT POWER QUERY
มุมมอง 2599 หลายเดือนก่อน
In this tutorial, you'll learn how to use bucketing in conditional columns to group data into categories based on specific criteria and how to apply them to your data in order to create more meaningful insights. With this technique, you'll be able to easily categorize and analyze large amounts of data, making it a valuable tool for any data analyst or data scientist or just looking to expand yo...
Buckets_Columns from Examples | MICROSOFT POWER QUERY
มุมมอง 3019 หลายเดือนก่อน
In this video, we will learn how to allocate buckets in Power Query using columns from Examples. We will start by loading the data into Power Query and then creating a new column that will contain the bucket label for each row in our dataset. To achieve this, we will use the "Columns from Example” function available in Power Query. We will then customize the bucket ranges and labels according t...
STATISTICS | MEASUREMENT OF CENTRAL TENDENCY | MEAN | MEDIAN | MODE
มุมมอง 239 หลายเดือนก่อน
This video will explore the concept of central tendency in statistics. We will start by defining what central tendency means and then move on to discussing the three measures of central tendency: mean median, and mode. We will explain how each of these measures can describe a data set and discuss their advantages and limitations. We will walk through examples of calculating each measure using r...
COLUMNS FROM EXAMPLE | MICROSOFT POWER QUERY
มุมมอง 2499 หลายเดือนก่อน
Description: In this video, I will demonstrate an advanced transformation technique for real-world data using Power Query. We will be utilizing columns from an example, which is a more powerful alternative to the Flash Fill technique in Excel. Additionally, I will show you a traditional technique to achieve the same results. Sample File Link: 1drv.ms/x/s!AuZjZ9AUAt8ThfEOAxfSnfMTvX5XBg?e=HS4zbT ...
ADVANCE FILTERING TECHINIQUE | 'AND' AND 'OR' | MICROSOFT POWER QUERY
มุมมอง 53510 หลายเดือนก่อน
ADVANCE FILTERING TECHINIQUE | 'AND' AND 'OR' | MICROSOFT POWER QUERY
ADVANCE NUMBER TRANSFORMATIONTECHINIQUE | MICROSOFT POWER QUERY.
มุมมอง 27110 หลายเดือนก่อน
ADVANCE NUMBER TRANSFORMATIONTECHINIQUE | MICROSOFT POWER QUERY.
Microsoft Power Query | Removing Duplicates Technique.
มุมมอง 55210 หลายเดือนก่อน
Microsoft Power Query | Removing Duplicates Technique.
Microsoft Power Query | Fill and Replace Technique.
มุมมอง 33010 หลายเดือนก่อน
Microsoft Power Query | Fill and Replace Technique.
Microsoft Power Query | Merged Column Technique | Transform and Add Columns
มุมมอง 37710 หลายเดือนก่อน
Microsoft Power Query | Merged Column Technique | Transform and Add Columns
Microsoft Power Query | Text Transformation Technique | Format, Extract & More
มุมมอง 1.1K10 หลายเดือนก่อน
Microsoft Power Query | Text Transformation Technique | Format, Extract & More
CREATING MIRROR EFFECT | COMPUTER VISION | PYTHON
มุมมอง 5111 หลายเดือนก่อน
CREATING MIRROR EFFECT | COMPUTER VISION | PYTHON
CREATING WATER EFFECT | COMPUTER VISION | PYTHON
มุมมอง 5911 หลายเดือนก่อน
CREATING WATER EFFECT | COMPUTER VISION | PYTHON
PRACTICAL | BASICS OF IMAGE PROCESSING | COMPUTER VISION
มุมมอง 53ปีที่แล้ว
PRACTICAL | BASICS OF IMAGE PROCESSING | COMPUTER VISION
THEORY | BASICS OF IMAGE PROCESSING | COMPUTER VISION
มุมมอง 30ปีที่แล้ว
THEORY | BASICS OF IMAGE PROCESSING | COMPUTER VISION
How to Write comments in Python | Learn Python
มุมมอง 81ปีที่แล้ว
How to Write comments in Python | Learn Python
IDENTIFYING CARDINALITY FOR CATEGORICAL VARIABLES | PYTHON
มุมมอง 122ปีที่แล้ว
IDENTIFYING CARDINALITY FOR CATEGORICAL VARIABLES | PYTHON
IDENTIFYING RARE LABELS FOR CATEGORICAL VARIABLE | PYTHON
มุมมอง 57ปีที่แล้ว
IDENTIFYING RARE LABELS FOR CATEGORICAL VARIABLE | PYTHON
CREATING NUMPY ARRAYS | PYTHON | COMPUTER VISION
มุมมอง 49ปีที่แล้ว
CREATING NUMPY ARRAYS | PYTHON | COMPUTER VISION
QUANTIFYING MISSING DATA USING PYTHON
มุมมอง 79ปีที่แล้ว
QUANTIFYING MISSING DATA USING PYTHON