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Udemy ã® ã€ä¸–ç•Œã§2万人ãŒå—講】実践 Python データサイエンスをå—講ã—ã¦ã¿ã¾ã—ãŸã€‚ 104講義ã€åˆè¨ˆ17.5時間もã®å‹•ç”»ã§ Jupyter を使ã£ãŸãƒ‡ãƒ¼ã‚¿è§£æžã®èª¬æ˜ŽãŒå—ã‘られã¾ã™ã€‚ ç§ãŒç”³ã—込んã 時ã¯å®šä¾¡ãŒ2万円を超ãˆã¦ã„ã¦ã€ã‚ãƒ£ãƒ³ãƒšãƒ¼ãƒ³ä¾¡æ ¼ã§6,000円ã§ã—ãŸã€‚ã§ã‚‚今ã¯å®šä¾¡ãŒ6,000円ã•ã‚‰ã«ãã“ã‹ã‚‰30% OFF ã®4,200円ãªã‚“ã§ã™ã… 内容ã¯ã¾ãš anaconda ã§ç’°å¢ƒæ§‹ç¯‰ã€‚anaconda ã ã‹ã‚‰ãƒãƒžã‚‰ãªã„ã—楽ã¡ã‚“。環境構築ã«æ™‚間を割ã‹ã‚Œãªãã¦è‰¯ã„ã§ã™ã€‚ ãã®å¾Œã¯æ¬¡ã®ã‚ˆã†ãªå†…容ã¨ãªã£ã¦ã„ã¾ã—ãŸã€‚ numpy ã® Array ã®èª¬æ˜Žpandas ã® Series, DataFrame ã®èª¬æ˜Žå¤–部データã®èªã¿è¾¼ã¿ãƒ‡ãƒ¼ã‚¿æ“作matplotlib を使ã£ãŸãƒ‡ãƒ¼ã‚¿ã®å¯è¦–化seaborn を使ã£ãŸãƒ‡ãƒ¼ã‚¿ã®å¯è¦–化タイタニックã®ä¹—èˆ¹è€…æƒ…å ±ã‚’ç”¨ã„ãŸãƒ‡ãƒ¼ã‚¿è§£æžæ ªä¾¡ãƒ‡ãƒ¼ã‚¿ã‚’分æžã‚¢ãƒ¡ãƒªã‚«
jupyter notebookã®ã‚«ãƒ¬ãƒ³ãƒ€ãƒ¼ | Advent Calendar 2016 - Qiita
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Deep Learning Courses - Master Neural Networks, Machine Learning, Data Science, and Artificial Intelligence in Python, TensorFlow, PyTorch, and Numpy
What order should I take your courses in? Welcome to the "Lazy Programmer Course Order" page! When it comes to learning data science and machine learning, there is no “one size fits all†solution. Different people have different goals and different ways of learning. So, for those of you who’ve asked me, “what order should I take your courses in?â€, the answer is: it depends! Are you interested in c
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