KGP Talkie

Feature Selection Machine Learning Matplotlib Numpy Pandas Python Seaborn and Plotly

Recursive Feature Elimination (RFE) by Using Tree Based and Gradient Based Estimators | Machine Learning | KGP Talkie

Recursive Feature Elimination (RFE) Playlist: https://www.youtube.com/playlist?list=PLc2rvfiptPSQYzmDIFuq2PqN2n28ZjxDH As it’s name suggests, it eliminates the features recursively and build a model using remaining attributes then again calculates the model accuracy of the model..Moreover how it do it train the model on all Read more…

By KGP Talkie, 5 years10 August 2020 ago

Deep Learning Machine Learning Natural Language Processing (NLP) Python Text Processing

Poetry Generation Using Tensorflow, Keras, and LSTM

What is RNN Recurrent Neural Networks are the first of its kind State of the Art algorithms that can Memorize/remember previous inputs in memory, When a huge set of Sequential data is given to it. Recurrent Neural Networks are the Read more…

By , 5 years9 August 2020 ago

Feature Selection Machine Learning Matplotlib Numpy Python Seaborn and Plotly

Step Forward, Step Backward and Exhaustive Feature Selection | Wrapper Method | KGP Talkie

Wrapping method Uses of Wrapping method Use combinations of variables to determine predictive power. To find the best combination of variables. Computationally expensive than filter method. To perform better than filter method. Not recommended on high number of features. Forward Read more…

By KGP Talkie, 5 years9 August 2020 ago

Feature Selection Machine Learning Numpy Pandas Python

Lasso and Ridge Regularisation for Feature Selection in Classification | Embedded Method | KGP Talkie

What is Regularisation? Regularization adds a penalty on the different parameters of the model to reduce the freedom of the model. Hence, the model will be less likely to fit the noise of the training data and will improve the Read more…

By KGP Talkie, 5 years8 August 2020 ago

Machine Learning Matplotlib Numpy Pandas Python Seaborn and Plotly

Logistic Regression with Python in Machine Learning | KGP Talkie

What is Logistic Regression? Logistic Regression is a Machine Learning algorithm which is used for the classification problems, it is a predictive analysis algorithm and based on the concept of probability. Logistic regression is basically a supervised classification algorithm. In Read more…

By KGP Talkie, 5 years8 August 2020 ago

Machine Learning Matplotlib Numpy Pandas PCA Python Seaborn and Plotly

PCA with Python | Principal Component Analysis Machine Learning | KGP Talkie

Principal Component Analysis(PCA) According to Wikipedia, PCA is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values Read more…

By KGP Talkie, 5 years8 August 2020 ago

Machine Learning Matplotlib Numpy Pandas Python Uncategorised

KNN with python | K Nearest Neighbors algorithm Machine Learning | KGP Talkie

How does the KNN algorithm work? In KNN, K is the number of nearest neighbors. The number of neighbors is the core deciding factor. K is generally an odd number if the number of classes is 2. When K=1, then Read more…

By KGP Talkie, 5 years8 August 2020 ago

Machine Learning Matplotlib Numpy Pandas Python Seaborn and Plotly

K-Mean Clustering in Python | Machine Learning | KGP Talkie

What is K-Mean Clustering? Machine Learning can broadly be classified into three types: Supervised Learning Unsupervised Learning Semi-supervised Learning K-means algorithm identifies k number of centroids, and then allocates every data point to the nearest cluster, while keeping the centroids Read more…

By KGP Talkie, 5 years7 August 2020 ago

Machine Learning Numpy Pandas Python Seaborn and Plotly

Linear Regression with Python | Machine learlearning | KGP Talkie

What is Linear Regression? You are a real estate agent and you want to predict the house price. It would be great if you can make some kind of automated system which predict price of a house based on various Read more…

By KGP Talkie, 5 years7 August 2020 ago

Machine Learning Matplotlib Numpy Pandas Python Seaborn and Plotly

Random Forest Classifier and Regressor with python | Machine Learning | KGP Talkie

What is it? A Random Forest is an ensemble technique which can have capable of performing both regression and classification tasks with the use of multiple decision trees and a technique called Bootstrap and Aggregation, commonly known as bagging. The Read more…

By KGP Talkie, 5 years7 August 2020 ago

Machine Learning Matplotlib Numpy Pandas Python Seaborn and Plotly

Improve Training Time of Machine Learning Model Using Bagging | KGP Talkie

How bagging works First of all we will try to understand what Bagging is from the following diagram: Let’s say we have a dataset to train the model, first we need to divide this dataset into number of datasets(atleast more Read more…

By KGP Talkie, 5 years7 August 2020 ago

Machine Learning Matplotlib Numpy Pandas Python Seaborn and Plotly

Ensemble Learning | Machine Learning in Python | KGP Talkie

What is Ensemble Learning? We can define Ensemble Learning in this way it uses multiple machine learning models or multiple set of models for the same algorithm which try to make a better prediction. Ensemble Learning model works by training Read more…

By KGP Talkie, 5 years7 August 2020 ago

Machine Learning Matplotlib Numpy Pandas Python Seaborn and Plotly

Decision Tree Machine Learning in Python KGP Talkie

For detailed theory read An introduction to Statistical Learning: A decision tree is a flowchart-like tree structure where an internal node represents feature, the branch represents a decision rule, and each leaf node represents the outcome. The topmost node in Read more…

By KGP Talkie, 5 years7 August 2020 ago

Machine Learning Matplotlib Numpy Pandas Python Seaborn and Plotly

SVM with Python | Support Vector Machines (SVM) Vector Machines Machine Learning | KGP Talkie

What is Support Vector Machines (SVM) We will start our discussion with little introduction about SVM. Support Vector Machine(SVM) is a supervised binary classification algorithm. Given a set of points of two types in N-dimensional place SVM generates a (N−1) Read more…

By KGP Talkie, 5 years7 August 2020 ago

IoT

A Guide to Sub-1 GHz Long-Range Communication and SmartPhone Connection for IoT Application to Lowpower RF Connectivity

In today’s Internet of Things (IoT) world, there is a multitude of new wireless connectivity applications entering the market each day, propelling the continuous gathering of sensors and interactions. From our smart phone telling us how many steps we have Read more…

By , 8 years19 October 2016 ago

AVR

AVR Microcontroller Memory Architecture

What is a memory map? The memory map of a microcontroller is a diagram which gives the size, type, and layout of the memories that are available in the microcontroller. The information uses to construct the memory map is extracted Read more…

By , 8 years19 October 2016 ago

Uncategorised

3 Big Technologies that will Shape the FUTURE of your Business

Internet of Things (IoT) describes an emerging trend where a large number of embedded devices (things) are connected to the Internet. These connected devices communicate with people and other things and often provide sensor data to cloud storage and cloud Read more…

By , 8 years6 October 2016 ago

IoT

A Guide to the Internet of Things (IoT)

The Big Data Bang The “Internet of Things” is exploding. It is made up of billions of “smart” devices—from minuscule chips to mammoth machines—that use wireless technology to talk to each other (and to us). Our IoT world is growing Read more…

By , 8 years13 September 2016 ago

ARM

CACHE MEMORY PRINCIPLES

Cache memory is intended to give memory speed approaching that of the fastest memories available, and at the same time provide a large memory size at the price of less expensive types of semiconductor memories. The concept is illustrated in Read more…

By , 8 years13 September 2016 ago

IoT

Next-Gen Sensors Make Golf Clubs, Tennis Rackets, and Baseball Bats Smarter Than Ever

Sensor fusion and integrated MEMS are essential tools for today’s athletes A golfer stands in the dreaded sand trap, carefully considering how to balance his weight as he eyes the ball. He takes a few practice swings. If he swings Read more…

By , 8 years13 September 2016 ago

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