Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for fake news detection
Develop time series forecasting models to predict sales of a product
5 sections • 58 lectures • 10h 50m total length
Installation of Anaconda Navigator
How to follow this course-Must Watch
Datasets & Resources
Analysing your categories of Restaurants
Perform Restaurant Overview Analysis
Perform In-Depth Analysis of Restaurant
Analysing Best budget Restaurants
Perform Geographical analysis on data..
Analysing Customer Behaviour using WordCloud
Analysing Reviews of Restaurant...
What is Imbalance Data & how to handle it??
How to Prepare your data for Machine Learning
Perform Feature Importance on data
How to came across with your missing values in data..
Perform Feature encoding on your data.
Apply Feature Encoding & Prepare your data for Modelling
Intuition Behind Random Forest Part-1
Intuition Behind Random Forest Part-2
Apply Random Forest algorithm on data.
Intuition behind Logistic Regression --part 1
Intuition behind Logistic Regression --part 2
Intuition Behind Naive Bayes-Part 1
How Naive Bayes works with Text Data..
Intuition Behind Decision Tree- Part 3
Intuition Behind Decision Tree- Part 4
Intuition Behind Decision Tree- Part 5
Intuition Behind Decision Tree- Part 6
Intuition Behind KNN- Part 1
Intuition Behind KNN- Part 2
Intuition Behind KNN- Part 3
Intuition Behind KNN- Part 4
Playing with multiple algorithms
Datasets & Resources
Intuition behind Bag of Words
Applying Bag of words on data..
Apply Naive Bayes on data..
Analyse your data & Playing with More algorithms
Datasets & Resources
Checking Stationary Trend in Data
How to make your Data Stationary ?
Intuition behind MA model --ARIMA part 2
Intuition behind AR model -- ARIMA part 3
Intuition behind Integrating -- ARIMA part 4
Apply ARIMA Algorithm on data..
Applying SARIMAX Algorithm on data
Doing Predictions on Future date..
Basic knowledge of Python programming is recommended.
Are you looking to land a top-paying job in Data Science?
Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..
Why should you take this Course?
It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , importing messy data, cleaning data,merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinkinglike How you can come up with a conclusion
Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.
Who this course is for:
One who is curious to gain Practical Skills on Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..
Professionally, I am a Data Scientist having experience of 6 years in finance, retail and transport.From my courses you will straight away notice how I combine my own experience to deliver content in a easiest fashion. To sum up, I am absolutely passionate about Data Analytics and I am looking forward to sharing my own knowledge with you!