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TORRENT DETAILS
Build RealWorld MachineLearning Projects With Python In 2023
TORRENT SUMMARY
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In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku).
Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights which analysts and business users can translate into tangible business value.
More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.
In This Course, We Are Going To Work On 2 Real World Projects Listed Below:
The Only Course You Need To Become A Data Scientist, Get Hired And Start A New Career
Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Free
Who this course is for:
Beginners in machine learning
Career transition from Non Technical into Data Science
Fresher to get job into Machine Learning Engineer
Beginner into Machine Learning
Requirements
There is no specific prerequisite to learn machine learning. But you need to be from engineering/science/Maths/Stats background to understand the theory and the techniques used. You need to be good in mathematics. If you are not, still you can machine learning, but you will face difficulty when solving complex real world problems. Many say you need to know Linear algebra, Calculus etc. etc. but I never learnt it, yet I am able to work on machine learning.
Last Updated 12/2022
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FILE LIST
Filename
Size
.pad/0
100.1 KB
.pad/1
301.7 KB
.pad/2
274.6 KB
.pad/3
94.3 KB
TutsNode.net.txt
63 B
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/1. Project-1 UK_Road_Accident_Timeseries_Forecasting/1. UK_Road_Accident_Timeseries_Forecasting_EDA.mp4
337.8 MB
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/1. Project-1 UK_Road_Accident_Timeseries_Forecasting/1. UK_Road_Accident_Timeseries_Forecasting_EDA.srt
44.4 KB
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/1. Project-1 UK_Road_Accident_Timeseries_Forecasting/2. Forecast UK Accident rates based on Number of Casualties on SARIMA,FbP,LSTM's.mp4
309.2 MB
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/1. Project-1 UK_Road_Accident_Timeseries_Forecasting/2. Forecast UK Accident rates based on Number of Casualties on SARIMA,FbP,LSTM's.srt
41.1 KB
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/1. Toxic_Comments_Classification_EDA.mp4
180.9 MB
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/1. Toxic_Comments_Classification_EDA.srt
24.4 KB
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/2. NLP - Tokenized Sequences for Visualization.mp4
60.9 MB
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/2. NLP - Tokenized Sequences for Visualization.srt
7 KB
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/3. Model Refinement - Optimize NB,SVM,LR with Feature Weight.mp4
183.2 MB
[TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/3. Model Refinement - Optimize NB,SVM,LR with Feature Weight.srt
