Task 2 Video Explanation Video
Clustering Of Data The Work is going on this document once completed you will be informed for more contact: viyogi.lalit786@gmail.com
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Task 1 Linear Regression Explanation
Linear Regression And Predictions The Work is going on this document once completed you will be informed for more contact: viyogi.lalit786@gmail.com
ML sem 4 2021
Linear regression https://www.javatpoint.com/linear-regression-in-machine-learning https://www.mygreatlearning.com/blog/linear-regression-in-machine-learning/ Cross-Validation https://www.mygreatlearning.com/blog/cross-validation/ https://www.javatpoint.com/cross-validation-in-machine-learning KNN algorithm https://www.mygreatlearning.com/blog/knn-algorithm-introduction/ https://machinelearningmastery.com/k-nearest-neighbors-for-machine-learning/
Logistic Discriminant Analysis
Logistic Discriminant Analysis Feature extraction is one of the most important problems in pattern recognition. Linear discriminant analysis (LDA) is one of the well-known methods to extract the best features for multi-class discrimination. LDA is formulated as a problem to find an optimal linear mapping by which the within-class scatter in the mapped feature space is made as small as possible relative to the between-class scatter. LDA is useful for linear separable cases, but for more complicated cases, it is necessary to extend it to non-linear. ---------------------------------------------------------------------------------------------------------------------------- Prerequisite : · Bayesian Decision Theory · Multi-Variate Linear Algebra · Numerical Computations -----------------------------------------...
Insertion Sort in a easy way
Insertion Sort The sorting of the array is very important in array implementation. So now, we will understand the insertion sort in a very easy way. The idea to implement: Take a number from the array Compare it with left numbers: if the left number is bigger: move the left number to the right else place the number Array = {78,89,45,23,10} Array = { 89,82,63,54,32,23} I hope you will understand the sorting if not try doing it by using a pen and paper and still stuck and comment down..
Machine Learning Books for Beginners.
Books for Beginners/Mediocre: 1. Machine Learning -Tom Thomas Mitchell Download Book 2. Machine Learning: A Probabilistic Perspective Download Book
Find number of pairs in an sorted array whose sum is given number
Number of pairs whose sum is given number here we have to find the pair of numbers from the sorted array whose sum must be equal to the given number. for example, suppose array A[10]={2,6,9,12,15,19,25,29,32,38} and given numer is 27. in this array, there are two pairs: (2,25) and (12,15). Logic:- first, we take a sorted array and check the sum of the last two numbers, if the sum is less than the given number then no such pair exists in the array, and if the sum is greater than the given number then there are possibilities of the existence of such pair. now we use only one loop to make the complexity be linear. C++ Result:- Note:- In Output, the result showing numbers are the addresses of numbers in that sorted array in which they are paired with.
Recursive function For counting all the perfect number from 1 to n.
What is a perfect number? A perfect number is a positive integer that is equal to the sum of its positive divisors , excluding the number itself. For instance, 6 has divisors 1, 2 and 3 (excluding itself), and 1 + 2 + 3 = 6, so 6 is a perfect number. C program to count all perfect numbers from 1to N. #include"stdio.h" int perfect(int num) { /* function to check number is perfect or not*/ if(num<1) { return 0; } int i, sum, n; sum = 0; n = num; for(i=1; i<n; i++) { /* If i is a divisor of num */ if(n%i == 0) { sum += i; } } if(num==sum) { printf("number is %d\n",num); ...
Reinforcement Learning
REINFORCEMENT LEARNING Reinforcement learning ( RL ) is an area of machine learning concerned with how software agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning . without some feedback about what is good and what is bad, the agent will have no grounds for deciding which move to make. The agent needs to know that something good has happened when it (accidentally) checkmates the opponent, and that something bad has happened when it is checkmated-or vice versa, if the game is suicide chess. This kind of feedback is called a reinforcement or reward. Rewards served to define optimal policies in Markov decision processes (MDPs). An optimal policy is a policy that maximizes the expected total reward. The task of reinforcement learn...
Intro to data -datascience
Introduction to Data Data is basically useful information about anything and of anybody. Data is commonly known as big data. this could be anything like the rating for a movie by a user, purchasing history, searching history, preferences of a user, likes and dislikes of a user, etc. in the field of Data Science, the Data/Big Data is classified into two categories:- Qualitative Data Quantitative Data Qualitative Data it deals with characteristics and descriptions that can't be measured easily but can be observed subjectively. Qualitative data is a type of data that describes the information. It is investigative and also often open-ended, allowing respondents to fully express themselves. it is also known as categorical data. this data type isn’t necessarily measured using numbers but rather categorized based on properties, attributes, labels, and other identifiers. example:- qualifications,sex,name, etc. this data is also classified in...
Automate your tasks
Automating tasks you can automate simple tasks such as the following : Moving and renaming thousands of files and sorting them into folders Filling out online forms, no typing required Downloading files or copy text from a website whenever it updates Having your computer text you custom notifications Updating or formatting Excel spreadsheets Checking your email and sending out prewritten responses These tasks are simple but time-consuming for humans, and they’re often so trivial or specific that there’s no ready-made software to perform them. Armed with a little bit of programming knowledge, you can have your computer does these tasks for you. Automate boring stuff Download
Regular Expression -Introduction
Introduction To Regular Expressions A regular expression is a special sequence of characters that helps you match or find other strings or sets of strings, using a specialized syntax held in a pattern. Regular expressions are widely used in the UNIX world. example:- Searching date and time in the datasheet, textbook, etc. Regular expressions can contain both special and ordinary characters. they simply match themselves. these are generally made by using meta-characters and repetition qualifiers. Meta Characters are shown below:- Repetition Qualifiers are shown below:- Note:- these are used in text mining and text analysis, etc.
ML Adavantages
Advantages Of Machine Learning To wrap up our discussion of the microlending example, we list some of the most prominent advantages to using a machine-learning system, as compared to the most common alternatives of manual analysis, hardcoded business rules, and simple statistical models. The five advantages of machine learning are as follows: Accurate:- ML uses data to discover the optimal decision-making engine for your problem. As you collect more data, accuracy can increase automatically. Automated:- As answers are validated or discarded, the ML model can learn new patterns automatically. This allows users to embed ML directly into an automated workflow. Fast:- ML can generate answers in a matter of milliseconds as new data streams in, allowing systems to react in real-time. Customizable:- Many data-driven problems can ...
Decision tree For chatbots
Decision Tree Algorithms for Building Chatbots A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements. How Does a Decision Tree Help? Decision trees are simple to write and understand, but they are a powerful representation of the solution made for the problem in question. They inherit a unique capability to help us understand a lot of things. • Help in creating a full picture of the problem at hand. Looking at the decision tree, we can easily understand what’s missing or what needs to be modified. Hel ps debug faster. Decision trees are like a short bible or, say, a visual representation of a software requirement specification document, which can be referred by developers, pro...
