Course programme
Getting Started with Python and Machine Learning 3 lectures 17:50 The Course Overview This video gives a glimpse of what you will learn through this video. Introduction to Machine Learning This video, will let you kick off your Python and machine learning journey with the basic, yet important concepts of machine learning. • Get a high level overview of Machine Learning • Explore important concepts Installing Software and Setting Up This is the first step with few practical tasks to get started. Yes! We are talking about installation and initial set up, which we’ll be doing together in this video. • Install Python • Set your system Getting Started with Python and Machine Learning 3 lectures 17:50 The Course Overview This video gives a glimpse of what you will learn through this video. Introduction to Machine Learning This video, will let you kick off your Python and machine learning journey with the basic, yet important concepts of machine learning. • Get a high level overview of Machine Learning • Explore important concepts Installing Software and Setting Up This is the first step with few practical tasks to get started. Yes! We are talking about installation and initial set up, which we’ll be doing together in this video. • Install Python • Set your system The Course Overview This video gives a glimpse of what you will learn through this video. The Course Overview This video gives a glimpse of what you will learn through this video. The Course Overview This video gives a glimpse of what you will learn through this video. The Course Overview This video gives a glimpse of what you will learn through this video. This video gives a glimpse of what you will learn through this video. This video gives a glimpse of what you will learn through this video. Introduction to Machine Learning This video, will let you kick off your Python and machine learning journey with the basic, yet important concepts of machine learning. • Get a high level overview of Machine Learning • Explore important concepts Introduction to Machine Learning This video, will let you kick off your Python and machine learning journey with the basic, yet important concepts of machine learning. • Get a high level overview of Machine Learning • Explore important concepts Introduction to Machine Learning This video, will let you kick off your Python and machine learning journey with the basic, yet important concepts of machine learning. • Get a high level overview of Machine Learning • Explore important concepts Introduction to Machine Learning This video, will let you kick off your Python and machine learning journey with the basic, yet important concepts of machine learning. • Get a high level overview of Machine Learning • Explore important concepts This video, will let you kick off your Python and machine learning journey with the basic, yet important concepts of machine learning. • Get a high level overview of Machine Learning • Explore important concepts This video, will let you kick off your Python and machine learning journey with the basic, yet important concepts of machine learning. • Get a high level overview of Machine Learning • Explore important concepts Installing Software and Setting Up This is the first step with few practical tasks to get started. Yes! We are talking about installation and initial set up, which we’ll be doing together in this video. • Install Python • Set your system Installing Software and Setting Up This is the first step with few practical tasks to get started. Yes! We are talking about installation and initial set up, which we’ll be doing together in this video. • Install Python • Set your system Installing Software and Setting Up This is the first step with few practical tasks to get started. Yes! We are talking about installation and initial set up, which we’ll be doing together in this video. • Install Python • Set your system Installing Software and Setting Up This is the first step with few practical tasks to get started. Yes! We are talking about installation and initial set up, which we’ll be doing together in this video. • Install Python • Set your system This is the first step with few practical tasks to get started. Yes! We are talking about installation and initial set up, which we’ll be doing together in this video. • Install Python • Set your system This is the first step with few practical tasks to get started. Yes! We are talking about installation and initial set up, which we’ll be doing together in this video. • Install Python • Set your system Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms 8 lectures 37:05 Understanding NLP Natural language processing or NLP, is a significant subfield of machine learning, which deals with the interactions between machine and human natural languages. We will explore this, through this video. • Explore about NLP and its real world applications Touring Powerful NLP Libraries in Python After a short list of real-world applications of NLP, we will be touring the essential stack of Python NLP libraries in this video. • Download NLTK packages • Import built-in stemmer algorithms, and initialize a stemmer Getting the Newsgroups Data Let’s get a step ahead by getting the Newsgroups data and downloading it. • Import the loader function for the 20 newsgroups data • Download the dataset with the default parameters Thinking about Features This video will walk you through the steps to achieve the extraction of features from the dataset. • Use the unique function from NumPy • Get the distinct values of integers • Look at the first document, its topic number, and name Visualization Let’s get a general idea of how the data is structured, what possible issues may arise, and if there are any irregularities that we have to take care of. • Display the distribution of the classes • Display a histogram of the 500 highest word counts Data Preprocessing This video will let you improve the most indicative Features from visualization by using the data preprocessing Techniques. • Get the 500 words with highest counts • Apply filtering Clustering How could you find the best division or a decent Approximation between set of data in a dataset? That’s what we are going to learn in this video. • Apply clustering to the newsgroup dataset • Display a scatter plot of the actual labels and the cluster labels Topic Modeling When we read a text, we expect certain words appearing in the title or the body of the text to capture the semantic context of the document. This video, will let you achieve this in Machine Learning and Python programming. • Apply NMF to document clustering and signal processing Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms. 8 lectures 37:05 Understanding NLP Natural language processing or NLP, is a significant subfield of machine learning, which deals with the interactions between machine and human natural languages. We will explore this, through this video. • Explore about NLP and its real world applications Touring Powerful NLP Libraries in Python After a short list of real-world applications of NLP, we will be touring the essential stack of Python NLP libraries in this video. • Download NLTK packages • Import built-in stemmer algorithms, and initialize a stemmer Getting the Newsgroups Data Let’s get a step ahead by getting the Newsgroups data and downloading it. • Import the loader function for the 20 newsgroups data • Download the dataset with the default parameters Thinking about Features This video will walk you through the steps to achieve the extraction of features from the dataset. • Use the unique function from NumPy • Get the distinct values of integers • Look at the first document, its topic number, and name Visualization Let’s get a general idea of how the data is structured, what possible issues may arise, and if there are any irregularities that we have to take care of. • Display the distribution of the classes • Display a histogram of the 500 highest word counts Data Preprocessing This video will let you improve the most indicative Features from visualization by using the data preprocessing Techniques. • Get the 500 words with highest counts • Apply filtering Clustering How could you find the best division or a decent Approximation between set of data in a dataset? That’s what we are going to learn in this video. • Apply clustering to the newsgroup dataset • Display a scatter plot of the actual labels and the cluster labels Topic Modeling When we read a text, we expect certain words appearing in the title or the body of the text to capture the semantic context of the document. This video, will let you achieve this in Machine Learning and Python programming. • Apply NMF to document clustering and signal processing Understanding NLP Natural language processing or NLP, is a significant subfield of machine learning, which deals with the interactions between machine and human natural languages. We will explore this, through this video. • Explore about NLP and its real world applications Understanding NLP Natural language processing or NLP, is a significant subfield of machine learning, which deals with the interactions between machine and human natural languages. We will explore this, through this video. • Explore about NLP and its real world applications Understanding NLP Natural language processing or NLP, is a significant subfield of machine learning, which deals with the interactions between machine and human natural languages. We will explore this, through this video. • Explore about NLP and its real world applications Understanding NLP Natural language processing or NLP, is a significant subfield of machine learning, which deals with the interactions between machine and human natural languages. We will explore this, through this video. • Explore about NLP and its real world applications Natural language processing or NLP, is a significant subfield of machine learning, which deals with the interactions between machine and human natural languages. We will explore this, through this video. • Explore about NLP and its real world applications Natural language processing or NLP, is a significant subfield of machine learning, which deals with the interactions between machine and human natural languages. We will explore this, through this video. • Explore about NLP and its real world applications Touring Powerful NLP Libraries in Python After a short list of real-world applications of NLP, we will be touring the essential stack of Python NLP libraries in this video. • Download NLTK packages • Import built-in stemmer algorithms, and initialize a stemmer Touring Powerful NLP Libraries in Python After a short list of real-world applications of NLP, we will be touring the essential stack of Python NLP libraries in this video. • Download NLTK packages • Import built-in stemmer algorithms, and initialize a stemmer Touring Powerful NLP Libraries in Python After a short list of real-world applications of NLP, we will be touring the essential stack of Python NLP libraries in this video. • Download NLTK packages • Import built-in stemmer algorithms, and initialize a stemmer Touring Powerful NLP Libraries in Python After a short list of real-world applications of NLP, we will be touring the essential stack of Python NLP libraries in this video. • Download NLTK packages • Import built-in stemmer algorithms, and initialize a stemmer After a short list of real-world applications of NLP, we will be touring the essential stack of Python NLP libraries in this video. • Download NLTK packages • Import built-in stemmer algorithms, and initialize a stemmer After a short list of real-world applications of NLP, we will be touring the essential stack of Python NLP libraries in this video. • Download NLTK packages • Import built-in stemmer algorithms, and initialize a stemmer Getting the Newsgroups Data Let’s get a step ahead by getting the Newsgroups data and downloading it. • Import the loader function for the 20 newsgroups data • Download the dataset with the default parameters Getting the Newsgroups Data Let’s get a step ahead by getting the Newsgroups data and downloading it. • Import the loader function for the 20 newsgroups data • Download the dataset with the default parameters Getting the Newsgroups Data Let’s get a step ahead by getting the Newsgroups data and downloading it. • Import the loader function for the 20 newsgroups data • Download the dataset with the default parameters Getting the Newsgroups Data Let’s get a step ahead by getting the Newsgroups data and downloading it. • Import the loader function for the 20 newsgroups data • Download the dataset with the default parameters Let’s get a step ahead by getting the Newsgroups data and downloading it. • Import the loader function for the 20 newsgroups data • Download the dataset with the default parameters Let’s get a step ahead by getting the Newsgroups data and downloading it. • Import the loader function for the 20 newsgroups data • Download the dataset with the default parameters Thinking about Features This video will walk you through the steps to achieve the extraction of features from the dataset It is a great starting point of learning classification with a real-life example-our email service providers are already doing this for us, and so can we. We will be learning the fundamental and important concepts of classification. ...
