Data Science Tips for Beginners!

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data ➼ The Most Complete List of Best AI Cheat Sheets. ➼ Neural Networks Graphs Cheat Sheet ➼ Machine Learning Overview MACHINE LEARNING IN EMOJI ➼ SUPERVISED

Have you ever been confused between paying for a course on coursera, udemy for certificate or downloading it from internet for free. "One good Project is always superior than 5 certificates". With zero knowledge of C and a keen interest to learn it, I looked upon the internet for the courses offered by some websites which I found paid. In reality, many students

14 Quick Tips for Finding a New Job: 1. Get clear on what you want 2. Research your target companies 3. Tailor your resume to each job 4. Create your online career brand 5. Get organized

I have summarized in this text best tips for data scientists to progress along their career. Whether you’re just starting or you want to go from junior to mid or mid to senior, there’s something new here for you. It's good to know about regression, Clustering,classification ensemble models however theses algorithms are now being taken care by Auto ML packages. Now, the hiring organisations are

Top 50 Machine Learning Interview Questions and Answers. 1) What is Machine learning? Ans - Machine learning is a branch of computer science which deals with system programming in order to automatically learn and improve with experience. For example: Robots are programmed so that they can perform the task based on data they gather from sensors. It automatically learns programs from data. 2) Mention the difference between Data Mining and Machine learning? Ans - Machine learning relates with

📇Top Machine Learning Algorithms📉 Naïve Bayes Classifier Algorithm K Means Clustering Algorithm Support Vector Machine Algorithm Apriori Algorithm Linear Regression Logistic Regression Artificial Neural Network Random Forests Decision

Break into Data Science Become A Data Science Expert Build up your ability to ingest, transform, visualize and model datasets. Whether you’re new to data science, or just need to brush up and expand your knowledge. Learn mathematics, statistics, SQL, Python, data cleaning and visualization, and machine and

Andrew NG's Machine Learning Learning Course Notes in a single pdf…. Notes from Coursera’s Machine Learning course, instructed by Andrew Ng, Adjunct Professor at Stanford University. Definition of Machine Learning Machine learning is a science that gives computers the ability to learn without

Solved a DS/Algo question & forget it after a week? Don't worry I have a SECRET tip for you. "update your `mind cache` with Fibonacci Sequence Interval, starting from index=2" Explanation: 0. Suppose you solved a problem on

NumPy NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and

An outlier is an observation that is unlike the other observations. It is  rare, or distinct, or does not fit  in some way. Outliers can have many causes, such as:

Plotly's Python graphing library makes interactive, publication-quality graphs. Plotly is a company that makes visualization tools including a Python API library. Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots,

Hello friends, In this post, I'll share a great resource to learn Deep Learning. It's a GitHub repository which contains free Deep Learning E-Books. 👉 Click Here to View the Collection! 👈

These are the Mistakes that I generally did and learned from that. Undermining the Power of Statistics and Probability. Ignoring the Outliers and Missing Values or Using a general method to treat them. they have a strong pattern hidden inside them, so do not take them lightly. It is more Important to make our Data better instead of using fancy models. because if data is poor, the results will be

It's a github repository which contains huge collection of books on: Computer Vision Deep Learning Machine Learning Math NLP Python Reinforcement Learning. 👉 Click Here to View the Collection! 👈