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Learn to Master Python • from Beginner to Expert (2019-04)

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  1. Learn to Master Python • from Beginner to Expert
  2. 61 sections • 430 lectures • 115h 32m total length
  3. 2019-04 | e-Learning | English | HTML, MP4, ZIP | 65.56 GB
  4.  
  5. Use Google's deep learning framework TensorFlow with Python. Leverage machine learning to make game changing apps.
  6.  
  7.  
  8. DOWNLOAD:
  9. -------------------------
  10. https://wrzucajpliki.pl/b0wh5aj1b3y9/python-2019-04.part01.rar
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  249. https://ddownload.com/tasisnzi1h15/python-2019-04.part02.rar
  250. https://ddownload.com/lt8u4b7w8s8c/python-2019-04.part03.rar
  251. https://ddownload.com/cy5uipoi1x29/python-2019-04.part04.rar
  252. https://ddownload.com/jc5wrqlvc6lx/python-2019-04.part05.rar
  253. https://ddownload.com/i9r9ic7yela4/python-2019-04.part06.rar
  254. https://ddownload.com/ncz0j2m7304o/python-2019-04.part07.rar
  255. https://ddownload.com/eohsjvjb0n0z/python-2019-04.part08.rar
  256. https://ddownload.com/vs4f50gvzf6x/python-2019-04.part09.rar
  257. https://ddownload.com/n4k6r51rja33/python-2019-04.part10.rar
  258. https://ddownload.com/1qqquuivenoe/python-2019-04.part11.rar
  259. https://ddownload.com/uq4f6ua5pjti/python-2019-04.part12.rar
  260. https://ddownload.com/dn7okt4kjjre/python-2019-04.part13.rar
  261. https://ddownload.com/5iuu6qxic3zd/python-2019-04.part14.rar
  262. https://ddownload.com/q5nm6tqvp2o0/python-2019-04.part15.rar
  263. https://ddownload.com/j358yn3tilak/python-2019-04.part16.rar
  264. https://ddownload.com/op3ked5wrd8s/python-2019-04.part17.rar
  265. https://ddownload.com/hj66cmytz1j3/python-2019-04.part18.rar
  266. https://ddownload.com/qqwgwbhd9yuq/python-2019-04.part19.rar
  267. https://ddownload.com/gzed7q1xxvtk/python-2019-04.part20.rar
  268. https://ddownload.com/27x0kemn334o/python-2019-04.part21.rar
  269. https://ddownload.com/4wjidsiz4em5/python-2019-04.part22.rar
  270. https://ddownload.com/rbdgi2u9jkta/python-2019-04.part23.rar
  271. https://ddownload.com/gb6zgm4huimv/python-2019-04.part24.rar
  272. https://ddownload.com/yidjm11qp2xe/python-2019-04.part25.rar
  273. https://ddownload.com/udxcsbefw25a/python-2019-04.part26.rar
  274. https://ddownload.com/gsvayx8w1jhf/python-2019-04.part27.rar
  275. https://ddownload.com/qj99bt3rg9lp/python-2019-04.part28.rar
  276. https://ddownload.com/c8w13rw50tpv/python-2019-04.part29.rar
  277. https://ddownload.com/i4tx87h1980c/python-2019-04.part30.rar
  278. https://ddownload.com/vzetdhl6tdmy/python-2019-04.part31.rar
  279. https://ddownload.com/1qb5jic143g8/python-2019-04.part32.rar
  280. https://ddownload.com/0vb1ddaawskt/python-2019-04.part33.rar
  281. -------------------------
  282. https://icerbox.com/gYNZA22O/python-2019-04.part01.rar
  283. https://icerbox.com/OkZN5xGg/python-2019-04.part02.rar
  284. https://icerbox.com/l08Koqyl/python-2019-04.part03.rar
  285. https://icerbox.com/lVrZeAKl/python-2019-04.part04.rar
  286. https://icerbox.com/OokvYP4O/python-2019-04.part05.rar
  287. https://icerbox.com/g58mYQol/python-2019-04.part06.rar
  288. https://icerbox.com/g6YJqpkl/python-2019-04.part07.rar
  289. https://icerbox.com/OyrA3Zzn/python-2019-04.part08.rar
  290. https://icerbox.com/l8Rq643O/python-2019-04.part09.rar
  291. https://icerbox.com/na5VeD5n/python-2019-04.part10.rar
  292. https://icerbox.com/l08Kodyl/python-2019-04.part11.rar
  293. https://icerbox.com/lK1Ze0EO/python-2019-04.part12.rar
  294. https://icerbox.com/gJ1ZeRvl/python-2019-04.part13.rar
  295. https://icerbox.com/nEPZBRbO/python-2019-04.part14.rar
  296. https://icerbox.com/lP2ZaKZO/python-2019-04.part15.rar
  297. https://icerbox.com/lW5Z9b9O/python-2019-04.part16.rar
  298. https://icerbox.com/OXWZeREg/python-2019-04.part17.rar
  299. https://icerbox.com/ONRZeLvO/python-2019-04.part18.rar
  300. https://icerbox.com/n2YoW74O/python-2019-04.part19.rar
  301. https://icerbox.com/gDPZb5Lg/python-2019-04.part20.rar
  302. https://icerbox.com/OBvpDVEO/python-2019-04.part21.rar
  303. https://icerbox.com/l8Rq6WEO/python-2019-04.part22.rar
  304. https://icerbox.com/gAV3wKRO/python-2019-04.part23.rar
  305. https://icerbox.com/g1RV5ELO/python-2019-04.part24.rar
  306. https://icerbox.com/nEPZBkbO/python-2019-04.part25.rar
  307. https://icerbox.com/OyrA3p1n/python-2019-04.part26.rar
  308. https://icerbox.com/nw7bvaVn/python-2019-04.part27.rar
  309. https://icerbox.com/nMyZewan/python-2019-04.part28.rar
  310. https://icerbox.com/OQyZ405O/python-2019-04.part29.rar
  311. https://icerbox.com/gZmZeW9l/python-2019-04.part30.rar
  312. https://icerbox.com/O9DXNdkg/python-2019-04.part31.rar
  313. https://icerbox.com/lK1ZewBO/python-2019-04.part32.rar
  314. https://icerbox.com/OokvY8pO/python-2019-04.part33.rar
  315. -------------------------
  316. https://1dl.net/kpybpueo06nl/python-2019-04.part01.rar
  317. https://1dl.net/qf5fgtxwkgte/python-2019-04.part02.rar
  318. https://1dl.net/ti2i5jdsqcya/python-2019-04.part03.rar
  319. https://1dl.net/tb0c5xhzcyuv/python-2019-04.part04.rar
  320. https://1dl.net/j2b0eh1ew8xj/python-2019-04.part05.rar
  321. https://1dl.net/dnm559i6ohvo/python-2019-04.part06.rar
  322. https://1dl.net/nz58d85z2lea/python-2019-04.part07.rar
  323. https://1dl.net/0hfq8wlbdphu/python-2019-04.part08.rar
  324. https://1dl.net/g9bqirytrko0/python-2019-04.part09.rar
  325. https://1dl.net/2121xy1tzfs7/python-2019-04.part10.rar
  326. https://1dl.net/0uk4z3twgycr/python-2019-04.part11.rar
  327. https://1dl.net/c07w9y286k6c/python-2019-04.part12.rar
  328. https://1dl.net/8oacx99giw12/python-2019-04.part13.rar
  329. https://1dl.net/zxc0nnkyv864/python-2019-04.part14.rar
  330. https://1dl.net/dxrdqwc14hp1/python-2019-04.part15.rar
  331. https://1dl.net/tri9tyljqjsx/python-2019-04.part16.rar
  332. https://1dl.net/1x6dtqwd2qfh/python-2019-04.part17.rar
  333. https://1dl.net/n6tu37xocc7s/python-2019-04.part18.rar
  334. https://1dl.net/t4p83r18o1mf/python-2019-04.part19.rar
  335. https://1dl.net/pas7vwnvihhb/python-2019-04.part20.rar
  336. https://1dl.net/g3onno99g776/python-2019-04.part21.rar
  337. https://1dl.net/z2ok1ulfsgdg/python-2019-04.part22.rar
  338. https://1dl.net/6ejd4b1rtr1h/python-2019-04.part23.rar
  339. https://1dl.net/piqm3k2b0s5a/python-2019-04.part24.rar
  340. https://1dl.net/qh5b6i12jidq/python-2019-04.part25.rar
  341. https://1dl.net/dckli9zogs8s/python-2019-04.part26.rar
  342. https://1dl.net/do2q8tknms3i/python-2019-04.part27.rar
  343. https://1dl.net/6nxrhsdpqxtx/python-2019-04.part28.rar
  344. https://1dl.net/03fetfksp5ly/python-2019-04.part29.rar
  345. https://1dl.net/6p4wxmh51biu/python-2019-04.part30.rar
  346. https://1dl.net/ccinmde125kl/python-2019-04.part31.rar
  347. https://1dl.net/mlmg6fcvwyo3/python-2019-04.part32.rar
  348. https://1dl.net/rg50pvjeqd0l/python-2019-04.part33.rar
  349. -------------------------
  350.  
  351.  
  352.  
  353. What you'll learn
  354. - Code in the Python programming language.
  355. - Create basic line and scatter plots with Matplotlib
  356. - Customize our graphs with visuals, a title, labels, text and a legend.
  357. - Optimize for intelligent apps: discover the TensorFlow mobile framework and build scientific analysis apps
  358. - Machine learning goes mobile: learn how to incorporate machine learning models into Android apps
  359. - And More!
  360.  
  361. Requirements
  362. - Download Anaconda 4.2.0, the free data science platform by Continuum, which contains Python 3.5.2 and Matplotlib.
  363. - Otherwise, you can download and install Python 3.5.2 and Matplotlib for free online.
  364. - Topics involve intermediate math, so familiarity with university-level math is helpful.
  365. - This course was recorded on a Mac, but you can use a PC
  366.  
  367. Description
  368.  
  369. We at Mammoth Interactive value input from students like you. Feel free to leave us your feedback.
  370.  
  371. This course was funded through a massively successful Kickstarter campaign.
  372.  
  373. Learn artificial intelligence, machine learning, and mobile dev with Java, Android, TensorFlow Estimator, PyCharm, and MNIST. Woah! That's a lot of content for one course.
  374.  
  375. Use Google's deep learning framework TensorFlow with Python. Leverage machine learning to improve your apps
  376.  
  377. Prediction Models Masterclass
  378.  
  379. By the end of this course you will have 3 complete mobile machine learning models and apps. We will build a simple ​weather prediction project, ​stock market prediction project, and ​text-response project.
  380.  
  381. For each we will build a basic version in PyCharm, save the trained model, export the trained model to Android Studio, and build an app around model.
  382.  
  383. No experience? No problem
  384.  
  385. Do you want to learn how to visualize data? Enroll in this course to learn how to do so directly in code.
  386.  
  387. Make 2D & 3D Graphs in Python with Matplotlib for Beginners! is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using Matplotlib, a Python 2D plotting library.
  388.  
  389. In Part 1, you learn how to use Python, a popular coding language used for websites like YouTube and Instagram. You learn the basics of programming, including topics like variables, functions, and if statements. You learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output.
  390.  
  391. We apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional Blackjack game! You learn how to solve errors that can occur when you work as a programmer.
  392.  
  393. In Part 2, you take your Python knowledge and apply it to Matplotlib. We go over many cool features of Matplotlib that we can use for data visualization. We show you how to make line plots, scatter plots, candlestick plots. You learn how to customize the visuals of your graph and to add text and annotate graphs. And much more!
  394.  
  395. Why choose Mammoth Interactive?
  396.  
  397. We prioritize learning by doing. We blend theory with practical projects to ensure you get a ​hands-on experience ​by building projects alongside your instructor. Our experienced instructors know how to explain topics clearly at a logical pace. Check out our huge catalog of courses for more content.
  398.  
  399. Also now included in these bundles are our extra courses. If you want to learn to use other programs such as Camtasia or Sketch, you get more content than what you paid for this way!
  400.  
  401. We really hope you decide to purchase this course and take your knowledge to the next level. Let's get started.
  402.  
  403. Enroll now to join the Mammoth community!
  404.  
  405. Who this course is for:
  406. - People who want to learn machine learning concepts through practical projects with PyCharm, Python, Android Studio, Java, and TensorFlow.
  407. - Absolute beginners who want to learn to code for the web in the popular Python programming language.
  408. - Anyone who wants to learn the technology that is shaping how we interact with the world around us.
  409. - Beginners who want to learn how to use data science to make graphs.
  410. - Experienced programmers who want to learn a 2D plotting library for Python.
  411. - Anyone who is interested in predictive modeling for handling the stock market, weather, and text.
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