Data Science tutorial for beginner level to advanced level | Data Science projects

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Data Science tutorial for beginner level and
advanced level Data Science projects

• - IQ ONLINE TRAINING

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What is Data Science?

• Data Science is, additionally known as
  data-driven science.
• It is an interdisciplinary area approximately
  about scientific methods, processes, and
  structures to extract the data or insights from
  statistics in diverse forms, structured or
  unstructured, similar to data mining.

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Data Science Levels

• In choosing what to start with, the dataset has
  been divided into 3 levels
• 1. Beginner Level The newbie degree comprises of
  knowledge sets that can be with no trouble
  labored with and doesnt want any data set
  technique that is problematic in nature.
• 2. Intermediate level The intermediate level has
  tougher data analytics initiatives which consist
  of mid and big data units that require excellent
  potential in pattern attention.
• 3. Advanced Level The advanced degree is
  suitable for those who have to comprehend in
  evolved themes similar to deep studying,
  recommender techniques and way more.

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Beginner Level Data Science Projects

• 1. Iris Data Set
• 2. Titanic Data Set
• 3. Boston Housing Data Set
• 4. Bigmart Sales Data Set
• 5. Loan Prediction Data Set

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1. IRIS Data Set

• This is presumed to be the most versatile,
  resourceful and easy dataset in pattern
  recognition literature. Its data has only 150
  rows and 4 columns.

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2. Titanic Data Set

• This is a very versatile dataset in having so
  many help guides and tutorials, in the global
  data science community.

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3. Boston Housing Data Set

• This data set is popularly used in pattern
  recognition literature and originates from the
  real estate industry in Boston, USA. Also a
  regression problem, its data has 506 rows and 14
  columns. It is a small data set giving the
  opportunity to attempt any technique and not
  worrying about any memory issue on computer.

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4. Bigmart Sales Data Set

• One industry known to extensively use analytics
  in optimizing business processes is retail.
  Various tasks such as inventory management,
  product placement, product building, customized
  offers, etc. are properly carried out using data
  science techniques.
• The data comprises of 8523 rows and 12 variables.

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5. Loan Prediction Data Set

• Insurance, among all industries, is known to have
  largest use data science methods and analytics.
  You are provided with enough information to work
  on data sets of insurance companies, the
  challenges to be faced, strategies to be used,
  the variables that would influence the outcome,
  and many others. It has a classification problem
  with 615 rows and 13 columns.

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Intermediate Level Data Science Projects

• 1. Million Song Data Set
• 2. Movie Lens Data Set
• 3. Trip History Data Set
• 4. Census Income Data Set
• 5. Text Mining Data Set

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1. Million Song Data Set

• You might not be aware of the fact analytics is
  used in the entertainment industry as well. It is
  a regression problem which consists 515345
  observations and 90 variables. On the other hand,
  it is just a tiny subset of its million song data
  original database.

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2. Movie Lens Data Set

• Movie Lens Data Set gives you the opportunity to
  build a recommendation engine. If you arent
  aware, it is known to be the most popular and
  quoted data set in the data science industry. It
  comes in different dimensions and has over a
  million ratings from 6000 users on more than 4000
  movies.

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3. Trip History Data Set

• Coming from a bike sharing service in the US, it
  requires you to utilize your skills in pro data
  munging. It is a classification problem with each
  file having 7 columns and it is provided
  quarter-wise from 2010.

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4. Census Income Data Set

• Census Income Data Set is a classic machine
  learning problem and an imbalanced
  classification. Machine learning is known to be
  extensively used for solving imbalanced problems
  like fraud detection, cancer detection, etc. This
  dataset has 48842 rows and 14 columns.

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5. Text Mining Data Set

• This data set is originally from Siam competition
  2007. The dataset comprises of aviation safety
  reports describing the problems which occurred in
  certain flights. It is a multi-classification,
  high dimensional problem. It has 21519 rows and
  30438 columns.

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Advanced Level Data Science Projects

• 1. KDD 1999 Data Set
• 2. Chicago Crime Data Set
• 3. Yelp Data Set
• 4. Identify your Digits Data Set
• 5. Image-Net Data Set

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1. KDD 1999 Data Set

• KDD originally brought the idea of the data
  mining competition to the whole world. It has
  been of very good use for a long time thereby
  providing a very enriching experience. It poses a
  classification kind of problem having 4M rows and
  48 columns in a 1.2GB file.

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2. Chicago Crime Data Set

• Data scientists nowadays are expected to handle
  very large volumes of data sets because companies
  no longer want to work on samples but use full
  data. Such data set will give you the necessary
  experience needed to handle such large datasets
  on any local machines you use.

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3. Yelp Data Set

• This data set is known to be a part of round 8 of
  the Yelp Dataset Challenge comprising of almost
  200,000 images, within 3 JSON files of 2GB.

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4. Identify your Digits Data Set

• Study, analyze and recognize elements in images
  from this dataset. It is very similar to how the
  camera lens detects faces by making use of image
  recognition. Build and test this technique known
  to be a digit recognition problem.
• It has 7000 images with 28 X 28 size making it
  31MB sizing.

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5. Image-Net Data Set

• This dataset offers various problems encompassing
  localization, object detection, screen praising
  and classification. With all its images freely
  available, you can look for any kind of image and
  create your project around it. For now, it has
  14,197,122 images of various shapes with a size
  of 140GB.

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