Naveen Pandey has more than 2 years of experience in data science and machine learning. He is an experienced Machine Learning Engineer with a strong background in data analysis, natural language processing, and machine learning. Holding a Bachelor of Science in Information Technology from Sikkim Manipal University, he excels in leveraging cutting-edge technologies such as Large Language Models (LLMs), TensorFlow, PyTorch, and Hugging Face to develop innovative solutions.
Breast cancer (BC) is one among the foremost common cancers among ladies worldwide, representing the bulk of recent cancer cases and cancer-related deaths in line with world statistics, creating it a major public ill health in today’s society. The early diagnosing of BC will improve the prognosis and probability of survival considerably, because it will promote timely clinical treatment to patients. any correct classification of benign tumors will stop patients undergoing supernumerary…
The Python List is a general data structure widely used in Python programs. They are both mutable and can be indexed and sliced. List methods 1 – append(value) Append a new element to the end of the list. 2 – extend(value) Extends the list by appending elements from another enumerable. 3 – index(value) Gets the…
Random Forest is better than Decision Tree as the greater number of trees in the forest leads to higher accuracy and prevents the problem of overfitting. Algorithm working Random Forest uses a Bagging technique with one modification, where subset of features are used for finding best split. Advantages & Disadvantages Disadvantages Popular Posts
Project 1: Heart Disease Detection Machine Learning is used across numerous spheres around the world. The healthcare industry is no exception. Machine Learning can play an essential part in predicting presence/ absence of Locomotor diseases, Heart conditions and further. similar information, if predicted well in advance, can give important perceptivity to doctors who can also…
This post is dedicated to some of the commonly used numpy function to do with arrays in python. 1 – Remove Duplicate from arrays using numpy 2 – Concatenate two arrays using numpy 3 – Get product of one/two arrays using numpy 4 – Basic maths function of Numpy Functional Programming Functional programming is a…
Arrays are used to store multiple values in one single variable. Array can be handled in Python by a module named array. Type codes for different data types: These codes are used while creating an array. 1 – Creating an Array Array(data_type, value_list) 2 – Adding Element to Array Insert() is used to insert one…
Analogy behind KNN: tell me about your friend (who your neighbors are) and I will tell you who you are. Algorithms Common distance function measure used for continuous variables. KNN Working The k-NN working can be explained on the basis of the below algorithm: Step-1: select the number of K of the neighbors Step-2: Calculate…
Tree based algorithms are a popular family of related non-parametric and supervised methods for both classification and regression. The decision tree looks like a upside-down tree with a decision rule at the root, from which subsequent decision rules spread out below. Sometimes decision trees are also referred to as CART, which is short for classification…
Machine learning relies on AI to predict the future based on past data. If you’re a data science enthusiast or practitioner, this article will help you build your own end-to-end machine learning project from scratch. In order for a machine-learning project to be successful, there are several steps that should be followed. These steps vary…
Logistic Regression is one of the most used Machine learning algorithms among industries and academia. It is a supervised learning algorithm used for classification where the target variable should be categorical. Why not Linear Regression for classification There are mainly two reasons for not fitting a linear regression on classification tasks: When we fit a…
Uber is a company based in San Francisco that handles over 118 million users and 5 million drivers, making it the perfect app for you to hire a ride. Additionally, they process an average of 17.4 million trips with over 6 billion rides completed every day. You can download the dataset used in this project…
The data-time is a built-in module supplies classes for manipulating dates and times. datetime.now use the now() method to access the current date and time. Date class in datetime module We can represent the data object using the data class Syntax to create a data object datetime.date(year, month, day) date.today() it will return the current…