There are two statistical theorems or philosophies Bayesian and Frequentist. A frequentist will relate any occurrence with past events happenings and any unknown will be related. Bayesian approves that every factor will somehow relate to the occurrence of an event and any unknown will be treated probabilistically i.e. …

K Nearest Neighbor is a supervised machine learning algorithm which means it uses predefined classes in which objects are assigned.(P.S -The reference of Charts and Formula is from Springer’s An Introduction to Statistical Learning) Why K-Nearest Neighbor is used? K Nearest Neighbor is a kind of advancement in Naive Bayes…

First thing first, What actually here Linear and Regression means and why and where we should use them!!?? (Not like other blogs that will begin with it’s the most widely used and blah, blah..).p.s- …

Linear Algebra is that branch of mathematics that helps us understand coordinates & plane visualizations by performing algebraic operations. The representation of coordinates and planes is done by matrices, points & vectors. Why Linear Algebra in Machine Learning? Linear Algebra relates variables(Dependent Variables, Independent Variables, and Target Variables) by a…

Data occurs only after the data collection process is completed. Data collection is not necessarily easy going and constant process. …

Computer Vision is the field in artificial intelligence that deals with the interpretation and understanding of images as computational data by computers. Using computer vision , computers can identify and recognize images for various practical uses such as face unlocks, autonomous vehicles, etc. OpenCV-Python makes use of Numpy, which is…

Plotting is the visual way of understanding our data. It gives us a clear idea of what information means and it even makes us identify and see relationships between variables. Visualization shrinks the spread of data from spreadsheets/CSV to a plot/map. Matplotlib is the first word that is synonymous with…

Every Machine Learning task begins with data. The data we obtain is not ready for model feeding it has to go through data preparation known as data-preprocessing. Pandas is a very versatile and powerful data handling library in python. …

NumPy is a Python library that helps to deal with multi-dimensional arrays, matrices, vectors along high computational mathematical formulas and concepts. Wiki Installing Numpy Numpy is pre-installed in Google Colab. Here the code snippet of installing NumPy in Colaboratory. !pip install numpy Python List vs NumPy Array A numpy array…