The latest articles on DEV Community by Harshita Ramchandani (@harshitaramchandani). https://dev.to/harshitaramchandani https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F363563%2Fd3330975-c1ca-40a9-be67-b8fc4b426ef8.jpeg https://dev.to/harshitaramchandani en Harshita Ramchandani Mon, 13 Apr 2020 16:49:17 +0000 https://dev.to/harshitaramchandani/learn-machine-learning-through-blog-course-2hke https://dev.to/harshitaramchandani/learn-machine-learning-through-blog-course-2hke <p>As a person, I prefer blogs over videos every time and I feel there might be many people like me. I am currently learning Machine Learning from various online sources and paid courses, I feel like sharing everything I learn through blogs.</p> <p>I am starting a Machine Learning course through blogs. It's free of cost. Now comes what I had done in ML, I myself am learning ML right now(you cant completely learn anything in technology or a language), I was among top ten finalists in techgig's ML hackathon(was unable to participate in finals due main semester exams). Now, why should you choose my blogs over any other learning website?</p> <ol> <li>It's free of cost.</li> <li>I am trying to cover a vast syllabus. (a little bit of data analytics too)</li> <li>You will get everything in one place i.e maths part of ML, Python prerequisites for ML, and of course ML.</li> <li>I will be writing blogs for making projects too step by step.</li> </ol> <p>The overview of the curriculum for maths and python (Would update with detailed one soon)</p> <ol> <li><p>Python - keywords, variables, data types, operators, loops, data structures(list, tuple, set, dictionary, strings), functions, modules, packages, file handling, exception handling, Numpy, matplotlib</p></li> <li><p>Maths - 3d plot, binary search, histogram, distribution, mean, median, vectors, dot product, projection, basic figures, probability, statistics, binomial distribution, variance, creation, K-S test, MNIST data set, PCA. </p></li> </ol> <p>I will be posting blogs on dev and my site both. (will put the topic number in every blog to arrange the content). </p> <p>My website<br> <a href="https://www.harshitaramchandani.tech/">https://www.harshitaramchandani.tech/</a></p> <p>To get subscribed to notifications of posts send "I want to subscribe" in contact box of the website or comment your email id below.</p> machinelearning python datascience blog Harshita Ramchandani Mon, 13 Apr 2020 11:09:08 +0000 https://dev.to/harshitaramchandani/learn-ml-from-blogs-2l6f https://dev.to/harshitaramchandani/learn-ml-from-blogs-2l6f <p>As a person, I prefer blogs over videos every time and I feel there might be many people like me. I am currently learning Machine Learning from various online sources and paid courses, I feel like sharing everything I learn through blogs.</p> <p>I am starting a Machine Learning course through blogs. It's free of cost. Now comes what I had done in ML, I myself am learning ML right now(you cant completely learn anything in technology or a language), I was among top ten finalists in techgig's ML hackathon(was unable to participate in finals due main semester exams). Now, why should you choose my blogs over any other learning website?</p> <ol> <li>It's free of cost.</li> <li>I am trying to cover a vast syllabus. (a little bit of data analytics too)</li> <li>You will get everything in one place i.e maths part of ML, Python prerequisites for ML, and of course ML.</li> <li>I will be writing blogs for making projects too step by step.</li> </ol> <p>The overview of the curriculum for maths and python (Would update with detailed one soon)</p> <ol> <li><p>Python - keywords, variables, data types, operators, loops, data structures(list, tuple, set, dictionary, strings), functions, modules, packages, file handling, exception handling, Numpy, matplotlib</p></li> <li><p>Maths - 3d plot, binary search, histogram, distribution, mean, median, vectors, dot product, projection, basic figures, probability, statistics, binomial distribution, variance, creation, K-S test, MNIST data set, PCA. </p></li> </ol> <p>I will be posting blogs on dev and my site both. (will put the topic number in every blog to arrange the content). </p> <p>My website<br> <a href="http://www.harshitaramchandani.tech/">http://www.harshitaramchandani.tech/</a></p> <p>To get subscribed to notifications of posts send "I want to subscribe" in contact box of the website or comment your email id below.</p> machinelearning python blog code