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Data Science Bundle • 180 Hands-On Projects • Course 1 of 3 (2023-10)

Oct 26th, 2023 (edited)
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  1. Data Science Bundle • 180 Hands-On Projects • Course 1 of 3
  2. 63 sections • 431 lectures • 73h 23m total length
  3. 2023-10 | e-Learning | English | HTML, MP4, ZIP | 35.89 GB
  4.  
  5. Build & Deploy 180 Projects - Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Azure Cloud).
  6.  
  7.  
  8. DOWNLOAD:
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  10. https://wplik.com/jm1w0xl8gi8f/dsb-180-ho-pro-1of3-2023-10.part01.rar
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  47. https://wrzucaj.pl/64a6ba039f6ecbd1/dsb-180-ho-pro-1of3-2023-10.part01.rar
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  84. https://rg.to/file/00e018950e5b674b24d9ee780754c32e/dsb-180-ho-pro-1of3-2023-10.part01.rar
  85. https://rg.to/file/3bb960644756c5e39a4f877ce7e11f9a/dsb-180-ho-pro-1of3-2023-10.part02.rar
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  93. https://rg.to/file/ca192593f1bb6edc85d367bc753add30/dsb-180-ho-pro-1of3-2023-10.part10.rar
  94. https://rg.to/file/1c2277a618e50a148aba49566b0c6f39/dsb-180-ho-pro-1of3-2023-10.part11.rar
  95. https://rg.to/file/1c0c71c98a73434ef1742e4baf978477/dsb-180-ho-pro-1of3-2023-10.part12.rar
  96. https://rg.to/file/daa344fe9219e3ed62c4cfea9871f949/dsb-180-ho-pro-1of3-2023-10.part13.rar
  97. https://rg.to/file/1665de00c864708991ea71ea1de8e3fc/dsb-180-ho-pro-1of3-2023-10.part14.rar
  98. https://rg.to/file/119bedf84f8bc114cf15b95f4940177c/dsb-180-ho-pro-1of3-2023-10.part15.rar
  99. https://rg.to/file/114f027160cc7e0c45a5ab45abe3c312/dsb-180-ho-pro-1of3-2023-10.part16.rar
  100. https://rg.to/file/49d08309900d7675d681133adbe1c4c4/dsb-180-ho-pro-1of3-2023-10.part17.rar
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  102. https://rg.to/file/55a4e13555e28cf06777b9254da720f0/dsb-180-ho-pro-1of3-2023-10.part19.rar
  103. https://rg.to/file/527bd3c8869702eb0dd6223d11e9b009/dsb-180-ho-pro-1of3-2023-10.part20.rar
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  118. https://rg.to/file/555d83fd41c55ede8e1b12959f5c8f50/dsb-180-ho-pro-1of3-2023-10.part35.rar
  119. https://rg.to/file/ee8de41a98b409f0223ac1e2cb818e51/dsb-180-ho-pro-1of3-2023-10.part36.rar
  120. -------------------------
  121.  
  122.  
  123.  
  124. What you'll learn
  125. - Master the essentials of Machine Learning using Python, the go-to language for Data Science.
  126. - Learn to build robust Machine Learning models that can withstand real-world uncertainties.
  127. - Acquire the skills needed to deploy Machine Learning models, making them functional in a live environment.
  128. - Develop a strong intuition for choosing the right Machine Learning models for different tasks.
  129. - Implement popular Machine Learning algorithms from scratch, providing you with a deep understanding of their functionalities.
  130. - Use SciKit-Learn, the Python library for Machine Learning, to efficiently complete various tasks.
  131. - Explore Matplotlib, the Python plotting library, to visualize your data effectively.
  132. - Get exposure to Deep Learning, Transfer Learning, and Neural Networks, expanding your skill set.
  133.  
  134. Requirements
  135. - Basic knowledge of data science.
  136.  
  137. Description
  138.  
  139. Unleash your data science mastery in this dynamic course! Learn to build and deploy machine learning, AI, NLP models, and more using Python and web frameworks like Flask and Django. Elevate your projects to the cloud with Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit. Get ready to turn data into powerful solutions!
  140.  
  141. Embark on a dynamic learning experience with our comprehensive course, "Applied Data Science: From Theory to Real-World Impact." Dive deep into the world of practical machine learning and data-driven projects, where you'll gain the skills to transform theoretical concepts into tangible solutions.
  142.  
  143. This hands-on program empowers you to tackle complex problems using cutting-edge techniques, guiding you through the entire project lifecycle. From the inception of ideas to data collection, preprocessing, modeling, and deployment, you'll navigate every stage, honing your skills in real-world settings.
  144.  
  145. Develop proficiency in deploying models across diverse environments, from interactive web applications to critical business systems. Gain insights into the challenges of model deployment and learn to address them effectively. With a strong emphasis on experiential learning, you'll work on actual industry-inspired projects, implementing strategies that yield measurable results.
  146.  
  147. "Data-Driven Projects" goes beyond the technical aspects, highlighting the integration of data-driven decision-making into various business landscapes. Witness the fusion of data analytics and strategic thinking, driving business impact through informed insights. Whether you're a seasoned data practitioner or a newcomer, this course equips you with the knowledge and confidence to excel in real-world scenarios.
  148.  
  149. Elevate your data science journey today and become a proficient problem solver, capable of leveraging data for transformative outcomes that make a difference in today's data-rich world.
  150.  
  151. Who this course is for:
  152. - Beginners in data science.
  153.  
  154.  
  155.  
  156.  
  157. RECOMMENDED COURSES:
  158.  
  159.  
  160. Data Science Bundle • 180 Hands-On Projects • Course 1 of 3 (2023-10)
  161. ---------------------------------
  162. https://pastebin.com/raw/diiHxf3U
  163. ---------------------------------
  164.  
  165.  
  166. Data Science Bundle • 180 Hands-On Projects • Course 2 of 3 (2023-10)
  167. ---------------------------------
  168. https://pastebin.com/raw/eifZ0iRx
  169. ---------------------------------
  170.  
  171.  
  172. Data Science Bundle • 180 Hands-On Projects • Course 3 of 3 (2023-10)
  173. ---------------------------------
  174. https://pastebin.com/raw/RK5QzSrE
  175. ---------------------------------
  176.  
  177.  
  178.  
  179. MORE COURSES:
  180. -----------------------------------------
  181. https://rg.to/folder/6531533/WEBSITE.html
  182. ---------------------------------------------
  183. https://rg.to/folder/6432280/PROGRAMMING.html
  184. ------------------------------------------------
  185. https://rg.to/folder/5704524/ENGLISH_COURSE.html
  186. ------------------------------------------------
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