FREE & PREMIUM COURSES’ Post

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❌ Nothing can last forever FREE Beginner-Friendly Courses to Learn AI.. To Change Your Future These are great to get you started in the AI field Offered by leaders in the field. AND they’re beginner friendly! We’re talking IBM, Deep Learning and Google: Check them out! No Payment required ✅ 🔹 7000+ Course Free Access : https://lnkd.in/gaX7kaur <>. Google Data Analytics: 🔺 https://lnkd.in/gnFbzF6x 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬: - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/gt86NcUS 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠: - Learn Python and R, the most popular programming languages. - Master essential libraries like NumPy, Pandas, Matplotlib. - Learn how to use databases like SQL and MongoDB. Python: https://lnkd.in/gNM6ydrN R language: https://lnkd.in/gbVF7e4T SQL: https://lnkd.in/gJ3thah9 MongoDB: https://lnkd.in/gtQj2i2u 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬: - Understand the fundamentals of probability and statistics. - Learn how to apply these concepts to real-world data problems. Probability: https://lnkd.in/gkjBQnvA Statistics: https://lnkd.in/gwuxiRDn 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: - Learn the basics of machine learning, including model construction, data exploration, and validation. - Explore intermediate concepts like handling missing values, categorical variables. - Dive into ensemble learning techniques like Random Forests. 🪢 https://lnkd.in/gzTqf_hE 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: - Learn about artificial neural networks, convolutional neural networks, and recurrent neural networks. - Implement deep learning models using TensorFlow, or PyTorch. - Understand crucial concepts like stochastic gradient descent, dropout. 🪢 https://lnkd.in/gi-hKbrn 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: - Learn the art of feature engineering, from creating baseline models to encoding categorical variables, generating new features, and selecting the most impactful features for your models. Feature Engineering : https://lnkd.in/g85xkDW2 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: - Learn how to deploy your data science models to production using cloud platforms like Microsoft Azure, or Google Cloud Platform. - Build web applications with Flask or Django. Microsoft Azure: https://lnkd.in/gsvVCx_V Google Cloud: https://lnkd.in/g6QVGxGg Flask: https://lnkd.in/gxadaxFZ Flask Project: https://lnkd.in/gdAtz9sa Django: https://lnkd.in/gFHTHMiu #datascience #python ##programming

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FREE Beginner-Friendly Courses to Learn AI To Change Your Future These are great to get you started in the AI field Offered by leaders in the field. AND they’re beginner friendly! We’re talking about IBM, Deep Learning and Google: Check them out! No Prerequisites required ✅ 🔹 7000+ Courses Access : https://lnkd.in/g36wvRfU <>. Google Data Analytics: 🔺https://lnkd.in/gD4uaKWu 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬: - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/gHZ6enuR 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠: - Learn Python and R, the most popular programming languages. - Master essential libraries like NumPy, Pandas, Matplotlib. - Learn how to use databases like SQL and MongoDB. Python: https://lnkd.in/gDR3iE2c R language: https://lnkd.in/gSADQ-Sz SQL: https://lnkd.in/gwrbuvJu MongoDB: https://lnkd.in/g67sa__q 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬: - Understand the fundamentals of probability and statistics. - Learn how to apply these concepts to real-world data problems. Probability: https://lnkd.in/gPEYEWJm Statistics: https://lnkd.in/gg7nDs3W 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: - Learn the basics of machine learning, including model construction, data exploration, and validation. - Explore intermediate concepts like handling missing values, categorical variables. - Dive into ensemble learning techniques like Random Forests. 🪢 https://lnkd.in/gJqdpHgE 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: - Learn about artificial neural networks, convolutional neural networks, and recurrent neural networks. - Implement deep learning models using TensorFlow, or PyTorch. - Understand crucial concepts like stochastic gradient descent, dropout. 🪢 https://lnkd.in/gshmAXCY 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: - Learn the art of feature engineering, from creating baseline models to encoding categorical variables, generating new features, and selecting the most impactful features for your models. Feature Engineering : https://lnkd.in/gRGixbMq 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: - Learn how to deploy your data science models to production using cloud platforms like Microsoft Azure, or Google Cloud Platform. - Build web applications with Flask or Django. Microsoft Azure: https://lnkd.in/gyGNZUit Google Cloud: https://lnkd.in/gaN59bNA Flask: https://lnkd.in/gT2ZS3CS Flask Project: https://lnkd.in/gptA6-3j Django: https://lnkd.in/gkQZdhu4 Happy Learning !!! Kindly Repost, so that it reaches a wider audience. #datascience #datascienceroadmap #sql #dataanalytics #python

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