Most Effective Tips to get your Dream Data Science Job

Get your dream role as a Data Scientist by following this go-to guide that covers all essential end to end topics.

📚 Lectures: 58
⭐️ Rating: 4.3
📊 Level: All Levels
🌐 Language: English
👨‍🏫 Instructor: Prince Patni
🏆 Certificate: Yes
🎫 Coupon: NOV_2025

#Development #Data_Science #Data_Science #Machine_Learning

By: https://t.iss.one/DataScienceC

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Machine Learning Practice Tests and Interview Questions

Test & Improve your Machine Learning skills | All topics included | Practice Tests | Common Interview Questions

⭐️ Rating: 4.0
📊 Level: All Levels
🌐 Language: English
👨‍🏫 Instructor: Prince Patni
🏆 Certificate: Yes
🎫 Coupon: NOV_2025

#Development #Data_Science #Machine_Learning

By: https://t.iss.one/DataScienceC

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No-Code Machine Learning Using Amazon AWS SageMaker Canvas

Build your Machine Learning Model and get accurate predictions without writing any Code using AWS SageMaker Canvas

📚 Lectures: 26
⭐️ Rating: 4.3
📊 Level: All Levels
🌐 Language: English
👨‍🏫 Instructor: Prince Patni
🏆 Certificate: Yes
🎫 Coupon: NOV_2025

#Development #Data_Science #Machine_Learning #Amazon_Sagemaker

By: https://t.iss.one/DataScienceC

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Deep Reinforcement Learning using python 2025

Complete guide to reinforcement learning | Stock Trading | Games

📚 Lectures: 63
⭐️ Rating: 4.1
📊 Level: Beginner
🌐 Language: English
👨‍🏫 Instructor: Riad Almadani • 60,000+ Stu...
🏆 Certificate: Yes
🎫 Coupon: 160B7240C0D77305279B

#Development #Data_Science #Machine_Learning

By: https://t.iss.one/DataScienceC

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Decision Trees, Random Forests, Bagging & XGBoost: R Studio

Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming

📚 Lectures: 63
⭐️ Rating: 4.5
📊 Level: All Levels
🌐 Language: English
👨‍🏫 Instructor: Start-Tech Academy
🏆 Certificate: Yes
🎫 Coupon: WINTERCOMING

#Development #Data_Science #Machine_Learning #Predictive_Modeling #R_programming_language #Decision_Trees

By: https://t.iss.one/DataScienceC

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Machine Learning using Python

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in Python

📚 Lectures: 169
⭐️ Rating: 4.4
📊 Level: All Levels
🌐 Language: English
👨‍🏫 Instructor: Start-Tech Academy
🏆 Certificate: Yes
🎫 Coupon: WINTERCOMING

#Development #Data_Science #Data_Science #Machine_Learning #Predictive_Modeling #Supervised_Machine_Learning

By: https://t.iss.one/DataScienceC

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Logistic Regression in R Studio

Logistic regression in R Studio tutorial for beginners. You can do Predictive modeling using R Studio after this course.

📚 Lectures: 86
⭐️ Rating: 4.2
📊 Level: All Levels
🌐 Language: English
👨‍🏫 Instructor: Start-Tech Academy
🏆 Certificate: Yes
🎫 Coupon: WINTERCOMING

#Development #Data_Science #Data_Analysis #Logistic_Regression #Machine_Learning #R_programming_language

By: https://t.iss.one/DataScienceC

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Data Science Skillpath: SQL, ML, Looker Studio & Alteryx

[4-in-1 Bundle] Covers SQL, Data viz using Google's Looker Studio, Machine Learning using Python and ETL using Alteryx

📚 Lectures: 322
⭐️ Rating: 4.7
📊 Level: All Levels
🌐 Language: English
👨‍🏫 Instructor: Start-Tech Academy
🏆 Certificate: Yes
🎫 Coupon: WINTERCOMING

#Development #Data_Science #Business_Analytics #Data_Analysis #Data_Science #Machine_Learning

By: https://t.iss.one/DataScienceC

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Building AI Projects Master Machine Learning & Deep Learning

Hands-On Projects in Machine Learning & Deep Learning for Real-World AI Solutions

📚 Lectures: 12
⭐️ Rating: 4.4
📊 Level: Beginner
🌐 Language: English
👨‍🏫 Instructor: Akhil Vydyula
🏆 Certificate: Yes
🎫 Coupon: NOV-FREE

#Development #Data_Science #Machine_Learning

By: https://t.iss.one/DataScienceC

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Complete Machine Learning With Real-World Deployment

Comprehensive Guide to Machine Learning Algorithms and Projects From Theory to Deployment: A Hands-On Machine Learning J

📚 Lectures: 32
⭐️ Rating: 4.4
📊 Level: All Levels
🌐 Language: English
👨‍🏫 Instructor: Akhil Vydyula
🏆 Certificate: Yes
🎫 Coupon: NOV-FREE

#Development #Data_Science #Deep_Learning #Machine_Learning #Python #Time_Series_Analysis

By: https://t.iss.one/DataScienceC

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