learndatascience

Naive bayes theorem: Naive bayes theorm uses bayes theorm for conditional probability with a naive assumption that the features are not correlated to each other and tries to find conditional probability of target variable given the probabilities of features. We will use titanic survival dataset here and using naive bayes classifier find out the survival probability of titanic travellers. We use sklearn library and python for this beginners machine learning tutorial. GaussianNB is the classifier we use to train our model. There are other classifiers such as MultinomialNB Naive Bayes Part 2: we will build email spam classifier using naive bayes algorithm. We will use sklearn CountVectorizer to convert email text into a matrix of numbers and then use sklearn MultinomialNB classifier to train our model. The model score with this approach comes out to be very high (around 98%). Sklearn pipeline allows us to handle pre processing transformations easily with its convenient api. In t...

what is machine Learning Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.  Machine learning focuses on the development of computer programs  that can access data and use it learn for themselves.The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide.  The primary aim is to allow the computers learn automatically  without human intervention or assistance and adjust actions accordingly. Deep Learning: The field of artificial intelligence is essentially when machines can do tasks that typically require human intelligence. It encompasses machine learning, where machines can learn by experience and acquire skills without human involvement. Deep le...

Introduction: I am pretty sure that many of us come across the article from the Harvard Business Review back in 2012. A data scientist is a professional known as the sexiest job of the 21st century. Also, research conducted by McKinsey Global Institute back in 2013 projected that there will be approximately 425,000 and 475,000 unfilled data analytics’ positions in North America by 2018. The take-home message here is that there will be a constant stream of analytic talent will be required in all industries, where companies collect and use data for their competitive advantages. What exactly a data scientist? In an over-simplified description, a data scientist is a professional who can work with a large amount of data and extract analytical insights. They communicate their findings to the stakeholders (i.e., senior leadership, management, and clients). Thus, companies can benefit from making the best-informed decisions to drive their business growth and profitability (i.e., depe...

Introduction and Installation: Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002.One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram etc. Installation of matplotlib: Format strings in plot function: you can use format string in plot function to control visual aspects of your plot such as color, marker, markersize, alpha etc. One can use keyword arguments to individually specify these properties if you dont like using format strings. Documentation for plot function formate string Individual arguments for plot alpha property of plot API axes labels,grids,legend: Bar Chart : to plot bar chart, ...

What is Pandas python and installation of Pandas..? pandas  is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the  Python  programming language . Installation: Dataframe Basics: DataFrame is a main object of pandas. It is used to represent tabular data (with rows and columns). 1) What is dataframe?                       Pandas DataFrame  is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). A Data frame is a two-dimensional data structure, i.e., data is aligned in a tabular fashion in rows and columns. Pandas DataFrame consists of three principal components, the  data ,  rows , and  columns . 2) Create dataframe from csv file and python dictionary 3) Dealing with rows and columns 4) Operations: mean, max, std, describe 5) Conditional selection 6) set_index...

Definition : “The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.” what is jupyter notebook...? This tutorial explains what is jupyter or ipython notebook. Jupyter or ipython notebook is a web application that allows you to run live code, embed visualizations and explanatory text all in one place. what is anaconda..?Install anaconda on Windows Anaconda  is a  free and open-source  distribution of the  Python  and  R  programming languages for  scientific computing  ( data science ,  machine learning  applications, large-scale data processing,  predictive analytics , etc.), that aims to simplify  package management  and deployment. Package versions are mana...

Learn Data Science in Step by Step using                                            Python STEP 1: Learn Python                             1.1 Install python                              1.2 Install pycharm                                                                                  CONCEPTS:                       Variables,Numbers,string,list,ifstatement,forloop,Functions,Dictionaries,Install Python modules,modules,working with JSON,Exceptional ...