Kanchan Kumari’s Post

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/e7A7hd-t Google Data Analytics:- 🔹https://lnkd.in/edtXhkzb <LimiTed> < FREE RESOURCES - https://lnkd.in/eiHx4pXk [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/ejH42Rs7 [[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/eyFAXpnZ 🔹R language: https://lnkd.in/d35WCs37 🔹SQL: https://lnkd.in/e26sy9N3 🔹MongoDB: https://lnkd.in/eC8Dgj66 [[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/ePMjCpVc 🔹Statistics: https://lnkd.in/ePMjCpVc [[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/ea4bYqTx [[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/ekrAuy6x [[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/edc9sN2i [[𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭:]] - Learn how to deploy your data science models to production using cloud platforms like Microsoft Azure, or Google Cloud Platform. [Happy Learning📚] [Follow for more such content] follow @Kanchan Kumari for more Like comment 💥 ⭐ #datascience #datascienceroadmap #datascience

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/e_brJZ4p Google Data Analytics:- 🔹https://lnkd.in/esuQkJTM <LimiTed> < FREE RESOURCES - https://lnkd.in/eDikxaaM [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/ewMEw6EU [[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/eJw9ssn6 🔹R language: https://lnkd.in/ePUXgG9w 🔹SQL: https://lnkd.in/ePvzxB4R 🔹MongoDB: https://lnkd.in/efjM3YEd [[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/e7y9qHbS 🔹Statistics: https://lnkd.in/e7y9qHbS [[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/eyxs43GF [[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/eFz82V5f [[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/eVWsTdyM [[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/dyAdJ8Yn Google Cloud: ◽https://lnkd.in/em7gc9HD Flask: ◽https://lnkd.in/e36m_qFv Flask Project: ◽https://lnkd.in/etfzdgen Django: ◽https://lnkd.in/egQGWHsf Google , Meta Resource - https://lnkd.in/eb9DBZzs [Happy Learning📚] [Follow Rani Kumari for more content]✅✅ #datascience #datascienceroadmap #datascience

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/dQEYMZD4 Google Data Analytics:- 🔹https://lnkd.in/dxv7_K9c <LimiTed> < FREE RESOURCES - https://lnkd.in/dqBi_2mJ [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/d4hMnfwW [[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/dGjjP9tE 🔹R language: https://lnkd.in/dEbKggyD 🔹SQL: https://lnkd.in/duNiWG5C 🔹MongoDB: https://lnkd.in/dfu5ndrY [[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/dEQQ-TkC 🔹Statistics: https://lnkd.in/dEQQ-TkC [[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/dxxYuNUY [[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/d93peSH2 [[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/drmxaXhW [[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/djuQCJbV Google Cloud: ◽https://lnkd.in/dFZPezNM Flask: ◽https://lnkd.in/dt8jRpPG Flask Project: ◽https://lnkd.in/d_kzPriV Django: ◽https://lnkd.in/dK9m4rmw Google , Meta Resource - https://lnkd.in/d8gHubEM [Happy Learning📚] [Follow for more such content] #datascience #datascienceroadmap #datascience

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/dQEYMZD4 Google Data Analytics:- 🔹https://lnkd.in/dxv7_K9c <LimiTed> < FREE RESOURCES - https://lnkd.in/dqBi_2mJ [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/d4hMnfwW [[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/dGjjP9tE 🔹R language: https://lnkd.in/dEbKggyD 🔹SQL: https://lnkd.in/duNiWG5C 🔹MongoDB: https://lnkd.in/dfu5ndrY [[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/dEQQ-TkC 🔹Statistics: https://lnkd.in/dEQQ-TkC [[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/dxxYuNUY [[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/d93peSH2 [[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/drmxaXhW [[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/djuQCJbV Google Cloud: ◽https://lnkd.in/dFZPezNM Flask: ◽https://lnkd.in/dt8jRpPG Flask Project: ◽https://lnkd.in/d_kzPriV Django: ◽https://lnkd.in/dK9m4rmw Google , Meta Resource - https://lnkd.in/d8gHubEM [Happy Learning📚] [Follow for more such content] #datascience #datascienceroadmap #datascience

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/dQEYMZD4 Google Data Analytics:- 🔹https://lnkd.in/dxv7_K9c <LimiTed> < FREE RESOURCES - https://lnkd.in/dqBi_2mJ [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/d4hMnfwW [[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/dGjjP9tE 🔹R language: https://lnkd.in/dEbKggyD 🔹SQL: https://lnkd.in/duNiWG5C 🔹MongoDB: https://lnkd.in/dfu5ndrY [[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/dEQQ-TkC 🔹Statistics: https://lnkd.in/dEQQ-TkC [[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/dxxYuNUY [[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/d93peSH2 [[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/drmxaXhW [[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/djuQCJbV Google Cloud: ◽https://lnkd.in/dFZPezNM Flask: ◽https://lnkd.in/dt8jRpPG Flask Project: ◽https://lnkd.in/d_kzPriV Django: ◽https://lnkd.in/dK9m4rmw Google , Meta Resource - https://lnkd.in/d8gHubEM [Happy Learning📚] [Follow for more such content] #datascience #datascienceroadmap #datascience

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/gqw5tCG6 Google Data Analytics:- 🔹https://lnkd.in/g86JHxnn <LimiTed> < FREE RESOURCES - https://lnkd.in/gxpiWpdq [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/dCEa9_-E [[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/gC5eJxFp 🔹R language: https://lnkd.in/gssjxmah 🔹SQL: https://lnkd.in/gVGxmkiN 🔹MongoDB: https://lnkd.in/gNxskhx2 [[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/gArjRrPw 🔹Statistics: https://lnkd.in/gArjRrPw [[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/gpvx8RiG [[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/gB_-dwiD [[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/gJk8y-id [[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/g3Z8gD57 Google Cloud: ◽https://lnkd.in/gj8VQS9r Flask: ◽https://lnkd.in/gPHRGR7i Flask Project: ◽https://lnkd.in/gX5GRySG Django: ◽https://lnkd.in/gkKZxaDj Google , Meta Resource - https://lnkd.in/ga7d8hvH [Happy Learning📚] [Follow for more such content] #datascience #datascienceroadmap #datascience

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/gqw5tCG6 Google Data Analytics:- 🔹https://lnkd.in/g86JHxnn <LimiTed> < FREE RESOURCES - https://lnkd.in/gxpiWpdq [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/dCEa9_-E [[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/gC5eJxFp 🔹R language: https://lnkd.in/gssjxmah 🔹SQL: https://lnkd.in/gVGxmkiN 🔹MongoDB: https://lnkd.in/gNxskhx2 [[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/gArjRrPw 🔹Statistics: https://lnkd.in/gArjRrPw [[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/gpvx8RiG [[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/gB_-dwiD [[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/gJk8y-id [[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/g3Z8gD57 Google Cloud: ◽https://lnkd.in/gj8VQS9r Flask: ◽https://lnkd.in/gPHRGR7i Flask Project: ◽https://lnkd.in/gX5GRySG Django: ◽https://lnkd.in/gkKZxaDj Google , Meta Resource - https://lnkd.in/ga7d8hvH [Happy Learning📚] [Follow for more such content] #datascience #datascienceroadmap #datascience

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/e_brJZ4p Google Data Analytics:- 🔹https://lnkd.in/esuQkJTM <LimiTed> < FREE RESOURCES - https://lnkd.in/eDikxaaM [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/ewMEw6EU [[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/eJw9ssn6 🔹R language: https://lnkd.in/ePUXgG9w 🔹SQL: https://lnkd.in/ePvzxB4R 🔹MongoDB: https://lnkd.in/efjM3YEd [[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/e7y9qHbS 🔹Statistics: https://lnkd.in/e7y9qHbS [[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/eyxs43GF [[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/eFz82V5f [[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/eVWsTdyM [[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/dyAdJ8Yn Google Cloud: ◽https://lnkd.in/em7gc9HD Flask: ◽https://lnkd.in/e36m_qFv Flask Project: ◽https://lnkd.in/etfzdgen Django: ◽https://lnkd.in/egQGWHsf [Happy Learning] FREE [t.me/NotesGallery1 / oia.link/Resource / wa.oia.bio/jobs] <<<<<Follow Rani Kumari for more such content>>>>>🕊️🕊️ Like .....💙 share...♻️♻️ Comment....💬💬💬 #datascience #datascienceroadmap #datascience

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/e_brJZ4p Google Data Analytics:- 🔹https://lnkd.in/esuQkJTM <LimiTed> < FREE RESOURCES - https://lnkd.in/eDikxaaM [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/ewMEw6EU [[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/eJw9ssn6 🔹R language: https://lnkd.in/ePUXgG9w 🔹SQL: https://lnkd.in/ePvzxB4R 🔹MongoDB: https://lnkd.in/efjM3YEd [[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/e7y9qHbS 🔹Statistics: https://lnkd.in/e7y9qHbS [[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/eyxs43GF [[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/eFz82V5f [[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/eVWsTdyM [[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/dyAdJ8Yn Google Cloud: ◽https://lnkd.in/em7gc9HD Flask: ◽https://lnkd.in/e36m_qFv Flask Project: ◽https://lnkd.in/etfzdgen Django: ◽https://lnkd.in/egQGWHsf [Happy Learning] FREE [t.me/NotesGallery1 / oia.link/Resource / wa.oia.bio/jobs] <<<<<Follow @Rani kumari for more content 🪷 🌷 🌷 Like.💙...share♻️ comment 💬 and help Others 🫶 🕊️ 🫶 #datascience #datascienceroadmap #datascience

𝐓𝐡𝐞 Free 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 Share with everyone so that everyone get benifts <> 7000+ Course Free Access : https://lnkd.in/e_brJZ4p Google Data Analytics:- 🔹https://lnkd.in/esuQkJTM <LimiTed> < FREE RESOURCES - https://lnkd.in/eDikxaaM [[𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬:]] - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/ewMEw6EU [[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/eJw9ssn6 🔹R language: https://lnkd.in/ePUXgG9w 🔹SQL: https://lnkd.in/ePvzxB4R 🔹MongoDB: https://lnkd.in/efjM3YEd [[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/e7y9qHbS 🔹Statistics: https://lnkd.in/e7y9qHbS [[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/eyxs43GF [[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/eFz82V5f [[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/eVWsTdyM [[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/dyAdJ8Yn Google Cloud: ◽https://lnkd.in/em7gc9HD Flask: ◽https://lnkd.in/e36m_qFv Flask Project: ◽https://lnkd.in/etfzdgen Django: ◽https://lnkd.in/egQGWHsf Google , Meta Resource - https://lnkd.in/eb9DBZzs [Happy Learning📚] [Follow Rani Kumari for more content ✅ 🕊️ 🫶 #datascience #datascienceroadmap #datascience