Predictive Analytics Tutorial: Part – 1| Machine Learning | Classification Techniques @SCALER
This is the Part 1 of Fundamentals Of Predictive Analytics course where, Sumit Shukla (DSML Instructor at Scaler) will give you an introduction about predictive analytics, machine learning and various branches. Check out our free masterclasses by industry-leading experts here: https://www.scaler.com/events?utm_source=Youtube&utm_medium=osocial&utm_campaign=brand_scaler_events_osocial_youtube_predictive-analytics-part1-Sumit&utm_content=YTDescription
Topics Covered
00:00 - Introduction
00:41 - Human Learning vs Machine Learning
08:17 - Concepts of Machine Learning
15:43 - Business Problem
29:21 - Various Branches of Machine Learning
32:24 - Regression & Classification
47:00 - Unsupervised ML
Predictive analytics has become a vital tool in the aviation industry, particularly in the realm of maintenance for airlines. By leveraging vast amounts of historical and real-time data, predictive analytics enables airlines to anticipate equipment failures and optimize maintenance schedules, leading to increased operational efficiency and safety. Here's a brief overview of how predictive analytics is utilized in the airlines industry for maintenance:
What is Predictive Maintenance ?
Airlines employ predictive analytics algorithms to forecast when components or systems are likely to fail based on data patterns. By analyzing various parameters such as engine performance, temperature, pressure, and vibration data, predictive maintenance algorithms can predict potential failures before they occur. This proactive approach helps airlines schedule maintenance activities more efficiently, minimizing downtime and reducing the likelihood of unexpected disruptions.
What is Reduced Operational Costs ?
Predictive analytics enables airlines to transition from traditional, reactive maintenance practices to proactive maintenance strategies. By addressing maintenance issues before they escalate into critical failures, airlines can avoid costly repairs, minimize the need for expensive spare parts, and optimize the utilization of their aircraft fleet. This ultimately leads to significant cost savings and improved profitability.
What is Enhanced Safety ?
Timely identification and resolution of maintenance issues through predictive analytics contribute to enhanced safety standards within the aviation industry. By detecting potential safety hazards early on, airlines can take preventive measures to ensure the continued airworthiness of their aircraft and mitigate risks to passengers and crew members.
What is Optimized Flight Scheduling ?
Predictive analytics not only helps in maintenance planning but also plays a crucial role in optimizing flight scheduling. By analyzing historical and real-time data on factors such as weather patterns, air traffic congestion, and aircraft performance, airlines can make informed decisions regarding flight routes, departure times, and fuel consumption, thereby improving operational efficiency and customer satisfaction.
What is Data-Driven Decision Making ?
Predictive analytics empowers airlines to make data-driven decisions across various aspects of their operations, including maintenance, fleet management, and route planning. By harnessing the insights derived from predictive models, airlines can identify trends, forecast demand, and adapt their strategies to changing market conditions, ultimately gaining a competitive edge in the industry.
#scaler #predictiveanalytics #machinelearning #algorithm
______________________________________________________________________________
About SCALER:
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Learn more about Scaler: https://bit.ly/4961Q92
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This is the Part 1 of Fundamentals Of Predictive Analytics course where, Sumit Shukla (DSML Instructor at Scaler) will give you an introduction about predictive analytics, machine learning and various branches. Check out our free masterclasses by industry-leading experts here: https://www.scaler.com/events?utm_source=Youtube&utm_medium=osocial&utm_campaign=brand_scaler_events_osocial_youtube_predictive-analytics-part1-Sumit&utm_content=YTDescription
Topics Covered
00:00 – Introduction
00:41 – Human Learning vs Machine Learning
08:17 – Concepts of Machine Learning
15:43 – Business Problem
29:21 – Various Branches of Machine Learning
32:24 – Regression & Classification
47:00 – Unsupervised ML
Predictive analytics has become a vital tool in the aviation industry, particularly in the realm of maintenance for airlines. By leveraging vast amounts of historical and real-time data, predictive analytics enables airlines to anticipate equipment failures and optimize maintenance schedules, leading to increased operational efficiency and safety. Here’s a brief overview of how predictive analytics is utilized in the airlines industry for maintenance:
What is Predictive Maintenance ?
Airlines employ predictive analytics algorithms to forecast when components or systems are likely to fail based on data patterns. By analyzing various parameters such as engine performance, temperature, pressure, and vibration data, predictive maintenance algorithms can predict potential failures before they occur. This proactive approach helps airlines schedule maintenance activities more efficiently, minimizing downtime and reducing the likelihood of unexpected disruptions.
What is Reduced Operational Costs ?
Predictive analytics enables airlines to transition from traditional, reactive maintenance practices to proactive maintenance strategies. By addressing maintenance issues before they escalate into critical failures, airlines can avoid costly repairs, minimize the need for expensive spare parts, and optimize the utilization of their aircraft fleet. This ultimately leads to significant cost savings and improved profitability.
What is Enhanced Safety ?
Timely identification and resolution of maintenance issues through predictive analytics contribute to enhanced safety standards within the aviation industry. By detecting potential safety hazards early on, airlines can take preventive measures to ensure the continued airworthiness of their aircraft and mitigate risks to passengers and crew members.
What is Optimized Flight Scheduling ?
Predictive analytics not only helps in maintenance planning but also plays a crucial role in optimizing flight scheduling. By analyzing historical and real-time data on factors such as weather patterns, air traffic congestion, and aircraft performance, airlines can make informed decisions regarding flight routes, departure times, and fuel consumption, thereby improving operational efficiency and customer satisfaction.
What is Data-Driven Decision Making ?
Predictive analytics empowers airlines to make data-driven decisions across various aspects of their operations, including maintenance, fleet management, and route planning. By harnessing the insights derived from predictive models, airlines can identify trends, forecast demand, and adapt their strategies to changing market conditions, ultimately gaining a competitive edge in the industry.
#scaler #predictiveanalytics #machinelearning #algorithm
______________________________________________________________________________
About SCALER:
A transformative tech school, creating talent with impeccable skills. Upskill and Create Impact.
Learn more about Scaler: https://bit.ly/4961Q92
π Follow us on Social and be a part of an amazing tech communityπ
π Meet like-minded coder folks on Discord – https://discord.com/invite/ejFeksEtTq
π Tweets you cannot afford to miss out on – https://twitter.com/scaler_official
π Check out student success stories, expert opinions, and live classes on Linkedin – https://www.linkedin.com/school/scalerofficial
π Explore value-packed reels, carousels and get access to exclusive updates on Instagram – https://www.instagram.com/scaler_official/
π’ Be a part of our one of a kind telegram community: https://t.me/Scalercommunity
π Hit that bell icon to get notified of all our new videos π
If you liked this video, please don’t forget to like and comment. Never miss out on our exclusive videos to help boost your coding career! Subscribe to Scaler now!
https://www.youtube.com/Scaler?sub_confirmation=1
