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spor
Kun for Ultimate
Web Development with C#
7 Kurser
293 OpgaverBegynder
4.8
(2547)
spor
Kun for Ultimate
Python from Zero to Hero
6 Kurser195 OpgaverBegynder
4.7
(9128)
spor
Kun for Ultimate
SQL from Zero to Hero
4 Kurser115 OpgaverBegynder
4.7
(2773)
spor
Kun for Ultimate
С++ Essentials
6 Kurser101 OpgaverBegynder
4.4
(534)
spor
Kun for Ultimate
Game Development with Unity
4 Kurser143 OpgaverBegynder
4.6
(92)
spor
Kun for Ultimate
Become a React Developer
4 Kurser98 OpgaverMellemniveau
4.7
(70)
spor
Kun for Ultimate
Excel Essentials
3 Kurser38 OpgaverBegynder
4.7
(374)
spor
Kun for Ultimate
Java Essentials
7 Kurser376 OpgaverBegynder
4.7
(220)
spor
Kun for Ultimate
Full Stack Web Development
7 Kurser345 OpgaverBegynder
4.7
(893)
spor
Kun for Ultimate
Frontend Development Foundations
6 Kurser308 OpgaverBegynder
4.7
(864)
spor
Kun for Ultimate
Mastering Data Visualization
5 Kurser146 OpgaverMellemniveau
4.7
(602)
spor
Kun for Ultimate
Machine Learning Mastery
5 Kurser148 OpgaverMellemniveau
4.6
(134)
spor
Kun for Ultimate
C++ Mastery
3 Kurser70 OpgaverAvanceret
4.8
(17)
spor
Kun for Ultimate
Java Web
7 Kurser280 OpgaverAvanceret
4.7
(3052)
spor
Kun for Ultimate
Become a QA Engineer
5 Kurser239 OpgaverBegynder
4.7
(750)
spor
Kun for Ultimate
Video Production with Adobe
4 Kurser125 OpgaverBegynder
5.0
(5)
spor
Kun for Ultimate
UI/UX Design Tools
3 Kurser119 OpgaverBegynder
4.9
(7)
spor
Kun for Ultimate
Essential Office Skills
3 Kurser75 OpgaverBegynder
4.8
(303)
spor
Kun for Ultimate
Digital Marketing Essentials
5 Kurser211 OpgaverBegynder
4.8
(6)
spor
Kun for Ultimate
Complete Social Media Management
5 Kurser206 OpgaverBegynder
5.0
(3)
spor
Kun for Ultimate
Business AI Toolkit
3 Kurser
2 Projekter49 OpgaverBegynder
4.7
(40)
spor
Kun for Ultimate
No-Code Website Development
3 Kurser180 OpgaverBegynder
4.0
(2)
spor
Kun for Ultimate
Deep Learning Odyssey
4 Kurser153 OpgaverAvanceret
4.8
(21)
Kurser & projekter
projekt
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
5.0
(1)
Kun for Ultimate
2 timer
10 kapitlerAvanceret
1 STUDERER NU
projekt
Identifying Spam Emails
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
ny
Kun for Ultimate
2 timer 11 kapitlerAvanceret
projekt
Classifying Tweet Sentiments
We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.
ny
Kun for Ultimate
2 timer 10 kapitlerAvanceret
projekt
Predicting Profitable Euro-Dollar Exchange Signals
In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.
ny
Kun for Ultimate
3 timer 20 kapitlerAvanceret
projekt
Identifying Fake News
We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.
ny
Kun for Ultimate
2 timer 9 kapitlerAvanceret
projekt
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
ny
Kun for Ultimate
1 time 6 kapitlerAvanceret
1 STUDERER NU
Sorry... We can't find
what you're looking for
Forløb
spor
Kun for UltimateWeb Development with C#
7 Kurser293 OpgaverBegynder
4.8
(2547)
spor
Kun for UltimatePython from Zero to Hero
6 Kurser195 OpgaverBegynder
4.7
(9128)
spor
Kun for UltimateSQL from Zero to Hero
4 Kurser115 OpgaverBegynder
4.7
(2773)
spor
Kun for UltimateС++ Essentials
6 Kurser101 OpgaverBegynder
4.4
(534)
spor
Kun for UltimateGame Development with Unity
4 Kurser143 OpgaverBegynder
4.6
(92)
spor
Kun for UltimateBecome a React Developer
4 Kurser98 OpgaverMellemniveau
4.7
(70)
spor
Kun for UltimateExcel Essentials
3 Kurser38 OpgaverBegynder
4.7
(374)
spor
Kun for UltimateJava Essentials
7 Kurser376 OpgaverBegynder
4.7
(220)
spor
Kun for UltimateFull Stack Web Development
7 Kurser345 OpgaverBegynder
4.7
(893)
spor
Kun for UltimateFrontend Development Foundations
6 Kurser308 OpgaverBegynder
4.7
(864)
spor
Kun for UltimateMastering Data Visualization
5 Kurser146 OpgaverMellemniveau
4.7
(602)
spor
Kun for UltimateMachine Learning Mastery
5 Kurser148 OpgaverMellemniveau
4.6
(134)
spor
Kun for UltimateC++ Mastery
3 Kurser70 OpgaverAvanceret
4.8
(17)
spor
Kun for UltimateJava Web
7 Kurser280 OpgaverAvanceret
4.7
(3052)
spor
Kun for UltimateBecome a QA Engineer
5 Kurser239 OpgaverBegynder
4.7
(750)
spor
Kun for UltimateVideo Production with Adobe
4 Kurser125 OpgaverBegynder
5.0
(5)
spor
Kun for UltimateUI/UX Design Tools
3 Kurser119 OpgaverBegynder
4.9
(7)
spor
Kun for UltimateEssential Office Skills
3 Kurser75 OpgaverBegynder
4.8
(303)
spor
Kun for UltimateDigital Marketing Essentials
5 Kurser211 OpgaverBegynder
4.8
(6)
spor
Kun for UltimateComplete Social Media Management
5 Kurser206 OpgaverBegynder
5.0
(3)
spor
Kun for UltimateBusiness AI Toolkit
3 Kurser2 Projekter49 OpgaverBegynder
4.7
(40)
spor
Kun for UltimateNo-Code Website Development
3 Kurser180 OpgaverBegynder
4.0
(2)
spor
Kun for UltimateDeep Learning Odyssey
4 Kurser153 OpgaverAvanceret
4.8
(21)
spor
Kun for Ultimate
Web Development with C#
7 Kurser293 Opgaver 4.8
spor
Kun for Ultimate
Python from Zero to Hero
6 Kurser195 Opgaver 4.7
spor
Kun for Ultimate
SQL from Zero to Hero
4 Kurser115 Opgaver 4.7
spor
Kun for Ultimate
С++ Essentials
6 Kurser101 Opgaver 4.4
spor
Kun for Ultimate
Game Development with Unity
4 Kurser143 Opgaver 4.6
spor
Kun for Ultimate
Become a React Developer
4 Kurser98 Opgaver 4.7
spor
Kun for Ultimate
Excel Essentials
3 Kurser38 Opgaver 4.7
spor
Kun for Ultimate
Java Essentials
7 Kurser376 Opgaver 4.7
spor
Kun for Ultimate
Full Stack Web Development
7 Kurser345 Opgaver 4.7
spor
Kun for Ultimate
Frontend Development Foundations
6 Kurser308 Opgaver 4.7
spor
Kun for Ultimate
Mastering Data Visualization
5 Kurser146 Opgaver 4.7
spor
Kun for Ultimate
Machine Learning Mastery
5 Kurser148 Opgaver 4.6
spor
Kun for Ultimate
C++ Mastery
3 Kurser70 Opgaver 4.8
spor
Kun for Ultimate
Java Web
7 Kurser280 Opgaver 4.7
spor
Kun for Ultimate
Become a QA Engineer
5 Kurser239 Opgaver 4.7
spor
Kun for Ultimate
Video Production with Adobe
4 Kurser125 Opgaver 5.0
spor
Kun for Ultimate
UI/UX Design Tools
3 Kurser119 Opgaver 4.9
spor
Kun for Ultimate
Essential Office Skills
3 Kurser75 Opgaver 4.8
spor
Kun for Ultimate
Digital Marketing Essentials
5 Kurser211 Opgaver 4.8
spor
Kun for Ultimate
Complete Social Media Management
5 Kurser206 Opgaver 5.0
spor
Kun for Ultimate
Business AI Toolkit
3 Kurser2 Projekter49 Opgaver 4.7
spor
Kun for Ultimate
No-Code Website Development
3 Kurser180 Opgaver 4.0
spor
Kun for Ultimate
Deep Learning Odyssey
4 Kurser153 Opgaver 4.8
Kurser & projekter
Teknologier
Filtre
projekt
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
5.0
(1)
Kun for Ultimate
2 timer 10 kapitlerAvanceret
1 STUDERER NU
projekt
Identifying Spam Emails
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
ny
Kun for Ultimate
2 timer 11 kapitlerAvanceret
projekt
Classifying Tweet Sentiments
We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.
ny
Kun for Ultimate
2 timer 10 kapitlerAvanceret
projekt
Predicting Profitable Euro-Dollar Exchange Signals
In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.
ny
Kun for Ultimate
3 timer 20 kapitlerAvanceret
projekt
Identifying Fake News
We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.
ny
Kun for Ultimate
2 timer 9 kapitlerAvanceret
projekt
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
ny
Kun for Ultimate
1 time 6 kapitlerAvanceret
1 STUDERER NU
projekt
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
5.0
(1)
Kun for Ultimate
2 timer 10 kapitlerAvanceret
1 STUDERER NU
projekt
Identifying Spam Emails
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
ny
Kun for Ultimate
2 timer 11 kapitlerAvanceret
projekt
Classifying Tweet Sentiments
We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.
ny
Kun for Ultimate
2 timer 10 kapitlerAvanceret
projekt
Predicting Profitable Euro-Dollar Exchange Signals
In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.
ny
Kun for Ultimate
3 timer 20 kapitlerAvanceret
projekt
Identifying Fake News
We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.
ny
Kun for Ultimate
2 timer 9 kapitlerAvanceret
projekt
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
ny
Kun for Ultimate
1 time 6 kapitlerAvanceret
1 STUDERER NU
Sorry... We can't find
what you're looking for
